Professor Kang Li 英国利兹大学电子电器工程学院智慧能源系统首席教授 李慷

Kang Li:

Chair of Smart Energy Systems

Professor of School of Electronic and Electrical Engineering,

University of Leeds

 

Contact:

School of Electronic and Electrical Engineering

University of Leeds

Tel: +44+(0)28 90 974663

Fax: +44+(0)28 90 975449

E-mail: K.LI1@leeds.ac.uk

 

 

Employment

1、Chair Prefessor of Smart Energy Systems, School of Electronic and Electrical Engineering, University of Leeds, 1 May 2018 to present.
2、Professor in Intelligent Systems and Control, Energy, Power and Intelligent Control, School of Electronics, Electrical Engineering & Computer Science, Queen’s University Belfast, 1 Oct 2011 to 30 April, 2018.
3、Reader, School of Electronics, Electrical Engineering & Computer Science, Queen’s University Belfast, 1 Oct 2009 to 30 Sept 2011.
4、Senior Lecturer, School of Electronics, Electrical Engineering & Computer Science, Queen’s University Belfast, 1 Oct 2007 to 30 Sept 2009.
5、Lecturer, School of Electronics, Electrical Engineering & Computer Science, Queen’s University Belfast, 1 Oct 2002 to 30 Sept 2007.
6、Research fellow, School of Mechanical & Manufacturing Engineering, Queen’s University Belfast, 12 Jan 1998 to 30 Sept 2002.
7、Senior research fellow, Lab for Measurement and Control, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 23 Jan. 1997 to 12 Jan. 1998.
8、Postdoctoral research fellow, then associate professorship. Department of Automation, Shanghai Jiaotong University, 1 Feb. 1995 to 31 Oct. 1996.

 

 

Education, Training and Qualifications

1、DSc (Doctor of Science), Queen’s University Belfast, July 2015 (Feb 2014-June 2015).
2、PGCert in Higher Education Teaching 07/07/2000, Queen’s University Belfast, Belfast BT7 1NN, UK (Oct 1998 –July 2000)
3、PhD in Control Theory and Applications, 23/03/1995, Shanghai Jiaotong University, China (Feb 1992-Jan 1995). Recipient of University Guanghua scholarships.
4、MSc in Control Theory and Application (distinction), 30/01/1992, Harbin Institute of Technology, China (Sept 1989 – Jan 1992)
5、BSc in Industrial Automation (first class), 20/06/1989, Xiang Tan University, China (Sept 1985 – June 1989). Recipient of University Three-Goods Student Role Model and Excellent Student Awards.
6、Emerging Leadership Training, Clinton Leadership Institute, Feb 2016 – May 2016.

 

Special Fields of Knowledge

Nonlinear System Modelling, Identification and Control; Bio-inspired Computational Intelligence; Applications in Integration of Renewable Energies, Power Systems, Electric Vehicles and Smart Grid, Polymer Processing, Food Safety, and Life Science.

 

Honours and Awards

1、Guest Professor, Shanghai Jiaotong University, China, 2018-2021
2、Member-at-large, PhD Board, XXXIII cycle of Doctoral Program, Polytechnic University Bari, 2017.
3、Guest Professor, Chongqing University, China, 2017-2019
4、Guest Professor, Hangzhou Dianzi University, China, 2017-2019
5、Guest Professor, Tianjin University, China, 2015-2017
6、Visiting Professor, Ningbo Institute of Technology, Zhejiang University, China, 2017-2019
7、Eastern Scholar, Education Commission of Shanghai Municipal Government, China, 2009-2012.
8、Visiting Professor, Harbin Institute of Technology, China, 2011-2016
9、Visiting Professor, Ningbo Institute of Technology, Zhejiang University, China, 2010-2013
10、Visiting Professor, Shanghai University, China, Jan 2007-Jan 2017.
11、Visiting Professor, Guangdong University of Technology, China, 2009
12、Visiting Professor, Polytechnic University of Bari, Taranto, Italy, 2006.
13、Senior visiting scholar, Tsinghua University, China, 2010, 2013.
14、Visiting scholar, University of Iowa, USA, June – July, 2007.
15、Visiting Scholar, New Jersey Institute of Technology, Newark, USA, August 2007.
16、Visiting Scholar, National University of Singapore, June – September, 2006.
17、Highly commended paper. ‘Model selection approaches for non-linear system identification: a review’ published in 2008, co-authored with Xia Hong, R.J. Mitchell, S. Chen, C. J. Harris and George Irwin, International Journal of Systems Science.
18、Best Oral Presentation Award. ‘Semantic Mapping for Safe and Comfortable Navigation of a Brain-Controlled Wheelchair’, co-authored with Zhixuan Wei, Weidong Chen, Jingchuan Wang, Huiyu Wang, 2013 International Conference on Intelligent Robotics and Applications (ICIRA 2013), Busan, Korea, Sept 25-28, 2013.
19、Young Author Best Paper Award. “Modeling of Melt Pressure Development in Polymer Extrusion: Effects of Process Settings and Screw Geometry”, co-authored with Chamil Abeykoon, Peter J. Martin and Adrian L. Kelly, 2011 International Conference on Modelling, Identification and Control (ICMIC 2011), Shanghai, June 26-29, 2011.
20、Best paper award. ‘Identification of Chiller Model in HVAC System Using Fuzzy Inference Rules with Zadeh’s Implication Operator’, co-authored with Yukui Zhang, Shiji Song, and Cheng Wu, 2010 International Conference on Life System Modelling and Simulation and International Conference on Sustainable Energy and Built Environment, Wuxi, Sept 17-20, 2010.

 

Professional Qualifications and Activities

Memberships

  • Member (2005), Senior Member (2011), Institute of Electrical and Electronics Engineers (IEEE), USA
  • Fellow, 09/03/2007, The Higher Education Academy, UK
  • Chartered Engineer (CEng), 12/01/2001, Engineering Council
  • Member (MInstMC), 30/11/2000, The Institute of Measurement and Control

Professional activities

  • Secretary, Executive Committee, IEEE United Kingdom and Republic of Ireland Section, 2008-2011
  • Member, IEEE Control and Communication Chapter Ireland Committee, 2006-2008
  • Chair, IEEE Control and Communication Chapter Ireland Committee, 2009- present
  • Member and Co-Chair, IEEE Systems, Man and Cybernetic Chapter Ireland Committee, 2009 – present
  • Member, IEEE Control Systems Society UKRI Chapter Committee, 2007-present
  • Member/Observer, Executive Committee, United Kingdom Automatic Control Council (UKACC), National Member Organisation of the International Federation of Automatic Control (IFAC), 2011-2014
  • Member, Technical Committee, Computational Intelligence in Control, the International Federation of Automatic Control (IFAC), 2012-present
  • Member, Technical Committee, IEEE Computational Intelligence Society, Adaptive Dynamic Programming & Reinforcement Learning Technical Committee, Neural Network Technical Committee, 2013 – present
  • Member, Technical Committee, Life System Modelling and Simulation, Chinese Association of System Simulation, 2013 – present
  • Referee, Austrian Science Fund, reviewer for Incremental Optimization and Design of Experiments for Evolving Non-Linear Models. 2013.
  • Referee, ‘973’ Project Scheme, Ministry of Science and Technology, China. 2014.
  • Member, Academic Committee, Provincial Lab on Active Power Distribution Network Big Data Analytics and Control Engineering, Jiangsu Province, China, 2016-present
  • Member, Executive Committee, UK Branch of China Electrotechnical Society.

Research Summary

Kang Li received PhD Degree in Control Theory and Applications from Shanghai Jiaotong University in 1995, and DSc degree from Queen’s University Belfast in 2015 for his work on nonlinear system identification. Between 1995 and 2012, he worked at Shanghai Jiaotong University, Delft University of Technology and Queen’s University Belfast as a research fellow. Since 2002, he was a Lecturer, Senior Lecturer (2007), and Reader (2009) with the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, U.K., and he became a Chair Professor of Intelligent Systems and Control in 2011. His research interests include nonlinear system modelling, identification, and control, and bio-inspired computational intelligence, with substantial applications to the development of advanced control technologies for decarbonizing the whole energy systems, from integration of renewable energies, smart- and micro-grids, district energy management, to electric vehicles, and energy reduction in manufacturing. His work on the development of minimal-invasive low-cost cloud based energy monitoring and analytic system has been used in different industrial sectors, winning several prestigious awards. Dr Li has produced over 300 publications and 15 conference proceedings in his area, winning over 10 prizes and awards, and has been invited to give over 70 keynotes and research seminars worldwide. He has led several large-scale international collaboration projects on energy between UK and China in the past 10 years, including the UK-China Science Bridge project. He initiated the establishment of the government funded UK-China University Consortium on Engineering Education and Research, comprising top 15 universities from UK and China to tackle the global challenges in energy and manufacturing, as one of the highlights in the UK-China high-level people to people dialogue held in London in December 2017.

 

Editorial Board

  • Associate Editor, Editorial Board, Transactions of the Institute of Measurement & Control (Sage), 2005-present;
  • Member, Editorial Board, Neurocomputing (Elsevier), 2005-present;
  • Cognitive Computation (Springer, NY, USA), 2009- present ;
  • Int. J. of Modelling, Identification and Control (Interscience), 2007-present;
  • Guest Editor, two special issues, Neurocomputing, 2007, 2010; one special issue, IFAC Journal of Mechatronics, 2010; One special issue, Neural Computing and Applications, 2010; four special issues, Transactions of the Institute of Measurement and Control, 2006, 2007, 2010; one special issue, Applied Mathematics and Computation, 2007; two special issues, International Journal of Modelling, Identification and Control, 2008; Mathematical Problems in Engineering, 2013.
  • Volume Editor/Co-editor, 12 volumes of Springer’s Lecture Notes series, including Lecture Notes in Computer Science (LNCS) (4 volumes), Lecture Notes in Artificial Intelligence (LNAI) (1 volumes), Lecture notes in Bioinformatics (LNBI) (3 volumes), and Lecture Notes in Control and Information Sciences (LNCIS) (2 volumes), 2006, 2007, 2010.

 

Committee of International Conferences

  • Chair,  Workshop on nexus of smart energy, intelligent manufacturing and transportation systems,  University of Leeds, Leeds, UK,  24 – 25 January 2019.
  • General Chair, The 2018 International Conference on Intelligent Manufacturing and Internet of Things & International Conference on Sustainable Energy Engineering (IMIOT & ICSEE 2018), Chongqing University, Chongqing, China, 21 – 23 September 2018.
  • Program Chair, International Conference on Control 2016 (UKACC2016), Queen’s University Belfast, Northern Ireland, UK, 31st August – 2nd September 2016.
  • Chair, The UK-China workshop on ‘Shaping low carbon energy future’,  Queen’s University Belfast, Northern Ireland, UK, 31st August – 2nd September 2016.
  • General Chair, 2014 International Conference on Life System Modelling and Simulation (LSMS 2014), and on Intelligent Computing for Sustainable Energy and Environment (ICSEE’14), September, Shanghai, 2014, China.
  • Chair, International Program Committee, 2014 International Conference on Intelligent Computing (ICIC’14), August 3-6, 2014, in Taiyuan, China.
  • General Chair, 2012 Science Bridge Forum & International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012).
  • Chair, Invited Session Chair (Europe), 5th IEEE International Conference on Cybernetics and  Intelligent Systems (CIS), Sept 17-19, 2011, Tsingdao, China;
  • Chair, Invited Session Chair, International Conference on Modelling, Identification and Control, June 26-29, 2011, Shanghai, China.
  • Chair, International Program Committee, International Conference on Life System Modelling and Simulation, and International Conference on Intelligent Computing for Sustainable Energy and Environment, September 17-21, 2010, Wuxi, China.
  • Chair, EPSRC funded 2nd New-Ace Workshop on Computational Intelligence in Identification and Control, 15-16th September 2008, Queen’s University Belfast, Belfast.
  • Chair, International Program Committee, International Conference on Life System Modelling and Simulation 2007, September 14-17, Shanghai, China.
  • Chair, International Program Committee, International Conference on Intelligent Computing 2006 (ICIC’06), August 2006, Kuming, China.
  • Co-Chair, Steering Committee, International Conference on Intelligent Computing 2007 (ICIC’07), August 2007, Qingdao, China.
  • Chair, Special sessions committee, International Conference on Modelling, Identification and Control, Shanghai, China, June 26-29, 2008.
  • Committee member of over 60 international conferences.
  • Invited seminars – over 30 invited seminars and speeches worldwide.

 

PhD students

Patrick Connaly (graduated in 2006); Barbara Pizzileo (graduated in 2009); Dajun Du (exchange, graduated in 2011); Xiao-Lei Xia (Celina, graduated in 2009); Padraig Gormley (graduated in 2010); Li Pan (2009-2010, graduated in 2010);.Jing Deng (graduated in 2011); Yapa Abeykoon ( graduated in 2011); Aolei Yang (Bert, 2009-2012); Wanqing Zhao (Horace, 2009-2012); Jingjing Zhang (Clare, 2009-2012); Hui Cai (2009-2012); Da Lu (Exchange student from Zhejiang University, 2010); Weihua Deng (exchange student from Shanghai University, 2010- 2011, graduated in 2012); Xiaoqing Tang (Emma, 2010-2013); Long Zhang (Will, 2010-2013);  Juan Yan (Joanna, 2011-2014); Yuanjun Guo (Anna, 2011-2014); Xiaodong Zhao (Leo, 2011-2014); Ziqi Yang (Wallace, 2011-2014); Lijun Xu (Michelle, Exchange from Shanghai Jiaotong, 2011-2012, graduated in 2013); Jianxing Li (exchange from Zhejiang University, 2012-2013); Yongling Wu (exchange from Shanghai Jiaotong University, 2012- 2014); Sable Campbell (2012-2013); Jeong Park (2013-2018); Paraic Higgins ( 2013-2015); Zhebing Sun (2013-2014).

 

Postdoctoral researcher

Dr Yanxia Wang (EPSRC 2017-2019); Dr Shaojun Gan (EPSRC 2017-2019); Dr Xiandong Xu (EPSRC 2015-2017); Dr Jing Deng (EPSRC, 2011 -2013; POC 2013; EPSRC 2013-2016); Dr Songyan Wang (EPSRC 2013-2016); Dr Dajun Du (RCUK, 2011-2012); Mr Peter Henon (KTP associate, 2012-2014); Dr Qun Niu (RCUK, 2009 -2011); Dr Xueqing Liu (EPSRC, 2009-2011); Dr Patrick Connally (EPSRC, 2007); Dr Jian-Xun Peng (EPSRC, 2004-2007); Dr James J Govindhasamy (KTP, 2005-2007).

 

Funded Projects

  • 2018-04.2021, EPSRC EP/R030243/1, ‘Creating Resilient Sustainable Microgrids through Hybrid Renewable Energy Systems’, as CI.
  • 2018, ‘UK-China knowledge consortium on energy and manufacturing’, funded by Global Partnership Fund, UK Science & Innovation Network, FCO, as PI.
  • 2017-2020, PhD studentship with Wrightbus, QUB William Wright Technology Centre, project title: ‘Advanced battery management technologies for heavy duty vehicle applications’, as PI.
  • 2017, FUSION Programme, All-Island Knowledge Transfer Initiative, in collaboration with Aubren Ltd for developing modern control systems, as PI.
  • 2-2019.2, “UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities”, UK-China Knowledge Economy Education Partnership, Department of Business, Energy & Industrial Strategy, British Council, as lead applicant and project CI.
  • Holography based optimal scheduling of hybrid energy storage systems for integration of renewable energy generations in smart grid, 2017.01-2018.12. as PI, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source.
  • 10/2016-02/2017, EPSRC Impact Acceleration Fund, ‘Energy Monitoring Device’, as PI.
  • 10/2016-03/2017, EPSRC Global Challenge Research Fund (GCRF) Award, ‘A holistic approach for shaping low carbon energy future in collaboration with China’, as PI.
  • 12/2016-11/2019, EPSRC (EP/P004636/1), Optimising energy management in industry (‘OPTEMIN2’)’, as Leeds PI.
  • 2016, ‘Shaping low carbon energy future’, funded by Global Partnership Fund, UK Science & Innovation Network, as PI.
  • 2016, ‘Shaping low carbon energy future’, funded by Department of Business, Innovation and Skills, British Council, and Newton Fund under the Newton Researcher Links Workshop Grants Scheme, as PI.
  • 2015, ICURe Innovation to Commercialisation, funded by HEFCE and Innovate UK, ‘Point Energy’, as PI.
  • 03/2015-03/2017, International Exchange and Newton Fund (IE141469) and NSFC jointly funded project, “Intelligent Control for Full Range Exhaust Waste Heat Recovery of IC Engines”, Royal Society, as
  • 2015, Distinguished Visiting Fellowship, “Decarbonizing the whole energy system from head to tail – a smart micro-grid solution”, Royal Academy of Engineering, as
  • 2014, CRIF (Central Research Infrastructure Fund), Queen’s University Belfast. Establishment of a joint laboratory on electric vehicles and smart grid, as PI.
  • Dec 2013- July 2017, EPSRC, Intelligent Grid Interfaced Vehicle Eco-charging (iGIVE), as PI, in collaboration with Harbin Institute of Technology.
  • April 2013- March 2015, Proof of Concept (POC 333), Integrating energy efficiency monitoring, control and optimization for plastics industry. Invest Northern Ireland, as PI.
  • Dec 2012- Nov 2014, Knowledge Transfer Partnerships, Technology Strategy Board, ‘To embed in-house electronic software and hardware capability’, with Munster Simms Engineering Ltd.
  • 2011, Distinguished Visiting Fellowship, “Advanced process control techniques for sustainable development for energy intensive processes,” Royal Academy of Engineering, as
  • Sept 2009- August 2012, EPSRC/RCUK (EP/G042594/1), “UK-China Bridge in Sustainable Energy and Built Environment (UC-SEBE)”, as CI and project coordinator.
  • 2008-2011, EPSRC (EP/F021070/1), “An integrated system of inferential measurement and control of polymer extrusion for self-tuning optimisation and response to disturbances”, as PI.
  • March 2010- March 2013, EPSRC (EP/G059489/1), “Thermal Management in Polymer Processing”, as CI.
  • 2010, British Council, Prime Minister Initiative (PMI2), “International mobility of UK students’, K Li*, as PI.
  • 2009, Distinguished Visiting Fellowship, “Computational intelligence in control for sustainable development,” Royal Academy of Engineering, as
  • Knowledge acquisition visit to leading universities and industrial company in China and to attend International Conference on Natural Computation. As PI.
  • 2007- 2010, EPSRC (Engineering and Physical Sciences Research Council), Q Zhong*, A Zolotas, K Li, D Coca, and S Evangelou, “New-ACE: A Network for New Academics in Control Engineering”, as Collaborator and Core member.
  • 2008-2011, Shanghai Municipal Science and Technology Commission, M Fei, G. Irwin and K Li, “Research on optimization and networked control of large-scale fossil-fuel power generation plants for energy efficiency”, as CI.
  • 2008, Invest Northern Ireland (InvestNI), K Li*,Computational intelligence in identification and control of engineering and life systems”, as PI, 2008.
  • 2008, Invest Northern Ireland (InvestNI), K Li*,Recent Development in Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection”, as PI, 2008.
  • 2004 – 2007, EPSRC (Engineering and Physical Sciences Research Council), K Li*, “Eng-genes – a new genetic modelling approach for real-time operation and control of engineering systems”, Project highlighted in EPSRC Newsline, issue 29, page 4, 2004, as PI.
  • 2005-2006, EPSRC (Engineering and Physical Sciences Research Council), P Crossley*, G Irwin, K Li, T Littler, “INTERACT: Establishing New Research Links with Chinese Universities and Chinese Academy of Science”, as CI.
  • 2005-2007, KTP project, Knowledge Transfer Partnership, “To optimise the control of substrate grinding and polishing processes and improve process capability, which achieves the stringent requirements of future high density disk production”, with Seagate Technology Media (Ireland), as
  • 2006, Invest Northern Ireland (InvestNI), K Li*,Improved training and transparency of artificial neural networks for dynamic system modelling and control”, as PI.
  • NSFC, State estimation and networked approximate-optimal coordinated control of active distribution network based on both data and mechanism analysis , Dong Yue, Minrui Fei, Kang Li, etc, 2015, Grant # 61533010, 2016.1-2020.12.

 

Honours and Awards

  • Third Prize, Top 100 papers published in Journals of Chinese Society for Electrical Engineers, for paper ‘A self-learning TLBO based Dynamic Economic/Environment dispatch considering multiple plug-in electric vehicle loads’ by Zhile Yang, Kang Li, Qun Niu, Yusheng Xue, Aoife Foley, published in the Journal, Vol. 2, No. 4, pp: 298-307, 2014. 2018. 中国电机工程学会期刊优秀论文三等奖。
  • Best Student Paper Award. ‘FRA and EKF Based State of Charge Estimation of Zinc-nickel Single Flow’, by Yihuan Li, Kang Li, Xiang Li, and Yanxue Li, First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part III.
  • Dean Award for internationalization, Faculty of Engineering and Physical Sciences, Queen’s University Belfast, 2018.
  • Most Cited Paper Award, Automation of Electric Power Systems, for paper ‘A review on short-term and ulstra-short-term wind power prediction’ by Yusheng Xue, Chen Yu, Junhua Zhao, Kang Li Xueqin Liu, Qiuwei Wu, and Guanya Yang, published in the Journal, Vol. 39, No. 6, pp: 141-151, 2015, award was given in 2017.
  • Outstanding Organization Award. 2017 International Conference on Life System Modelling and Simulation (LSMS 2017) and 2017 International Conference on Intelligent Computing for Sustainable Energy and Built Environment (ICSEE 2017), Sept 22-24, Nanjing, 2017.
  • Best Paper Award. 2017 International Conference on Life System Modelling and Simulation (LSMS 2017) and 2017 International Conference on Intelligent Computing for Sustainable Energy and Built Environment (ICSEE 2017), Sept 22-24, Nanjing, 2017. Paper ‘Compact Real-valued Teaching-Learning Based Optimization for Continuous Optimization Problems’, by Zhile Yang, Kang Li, Haiping Ma, Qun Niu, Min Zheng, and Chenyang Dong.
  • Most Cited Paper Award, Journal of Modern Power Systems and Clean Energy, for paper ‘A self-learning TLBO based Dynamic Economic/Environment dispatch considering multiple plug-in electric vehicle loads’ by Zhile Yang, Kang Li, Qun Niu, Yusheng Xue, Aoife Foley, published in the Journal, Vol. 2, No. 4, pp: 298-307, 2014, at IEEE PES General Meeting, Chicago, 2017.
  • Invent2016 Category Winner, Point Energy Technology, Invent 2016, NISP CONNECT, Sept 29, 2016.
  • Finalist, Point Energy Technology, SEAI Sustainable Energy Awards 2016, 2016.
  • Best Paper Award, 5th International Conference on Pattern Recognition Applications and Methods, 2016 for paper ‘K-fold Subsampling Based Sequential Backward Feature Elimination’, co-authored with Jeonghwan Park, Kang Li, Huiyu Zhou, 24-26 February 2016, Rome, Italy.
  • Nominee of Best KTP and Engineering Excellence Awards 2015, for project of ‘To embed in-house electronic software and hardware capability including processes and systems to manage software hence accelerating the delivery of innovative products to market’, 2015, Knowledge Transfer Partnerships, Technology Strategy Board, UK.
  • Nominee of Best Paper, 2015 IEEE PES General Meeting, for paper “Special Condition Wind Power Forecasting Based on Gaussian Process and Similar Historical Data”, co-authored with Juan Yan, Erwei Bai, Aoife Foley, 26-30 July, 2015, Denver, USA.
  • Institute of Measurement and Control ICI Prize, for the best paper published in Transactions in 2014, ‘Low-cost process monitoring for polymer extrusion’, co-authored with Jing Deng, Eileen Harkin-Jones, Mark Price, Minrui Fei, Adrian Kelly, Javier Vera-Sorroche, Phil Coates, and Elaine Brown, Oct 2015.
  • Outstanding Award (Highest Grade), Knowledge Transfer Partnerships Certificate of Excellence, Certificate No. KTP008909, for project of ‘To embed in-house electronic software and hardware capability including processes and systems to manage software hence accelerating the delivery of innovative products to market’, 2015, Technology Strategy Board.
  • Best Paper Award. 2014 International Conference on Life System Modelling and Simulation (LSMS 2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Built Environment (ICSEE 2014), Sept 21-23, Shanghai, 2014. Paper ‘A Variant Gaussian Process for Short-term Wind Power Forecasting Based on TLBO’, by Juan Yan, Zhile Yang, Kang Li, Yusheng Xue.
  • Best Oral Presentation Award. 2013 International Conference on Intelligent Robotics and Applications (ICIRA 2013, Sept 25-28, 2013) presented the award to Zhixuan Wei, Weidong Chen, Jingchuan Wang, Huiyu Wang and Kang Li for the paper entitled ‘Semantic Mapping for Safe and Comfortable Navigation of a Brain-Controlled Wheelchair’.
  • Highly commended paper. The International Journal of Systems Science has Highly Commended the paper entitled ‘Model selection approaches for non-linear system identification: a review’ at the American Control Conference in Baltimore, USA 2010 by the editor-in-chief Professor Peter Fleming, co-authored with Xia Hong, R.J. Mitchell, S. Chen, C. J. Harris and George Irwin.
  • Best paper award. The 2010 International Conference on Life System Modelling and Simulation and International Conference on Sustainable Energy and Built Environment has presented the best paper award to ‘Identification of Chiller Model in HVAC System Using Fuzzy Inference Rules with Zadeh’s Implication Operator’ co-authored with Yukui Zhang, Shiji Song, and Cheng Wu from Tsinghua University.
  • 上海市东方学者, 2010-2013
  • Young Author Best Paper Award. 2011 International Conference on Modelling, Identification and Control (ICMIC 2011) has presented the Young Author Best Paper Award to Dr Li for the paper “Modeling of Melt Pressure Development in Polymer Extrusion: Effects of Process Settings and Screw Geometry”, co-authored with Chamil Abeykoon, Peter J. Martin and Adrian L. Kelly, at Shanghai, June 26-29, 2011.
  • 2010年中国国际工业博览会创新奖,面向物联网应用的异构测控网络系统,由国家发展和改革委员会、商务部、工业和信息化部、科学技术部、教育部、中国科学院、中国工程院、中国国际贸易促进委员会和上海市人民政府共同主办,主要完成人:付敬奇,费敏锐,李昕,侯维岩,杜大军,王海宽,朱强,李慷,宋杨.
  • 2009年上海市科委科技进步二等奖, 网络测控系统关键技术与电站自动化,费敏锐等,李慷排名 The key technology of networked measurement and control system and power plant automation won “The second prize for Science and Technology Progress of Shanghai” on 27 November, 2009.
  • 2012 中国(国际)传感器创新大赛三等奖, ‘挤塑机挤出熔体的粘度软测量技术’, ‘ Soft sensor technology for measuring the melt viscosity of polymer extrusion’, Third prize, 2012 China (International) Transducer & Sensor Innovation Contest. 李慷排名第一。
  • Queen’s People on Global Recognition, Vice-Chancellor’s Annual report, 2011-2012, Queen’s University Belfast.
  • Vice-Chancellor’s Special Award, awarded by the Vice-Chancellor of Queen’s University Belfast for contribution to University Internationalization in Shanghai, Sept 2012.

 

Referee

  • Referee, NSF, USA, 2018.
  • Referee, Cyprus Research Promotion Foundation (RPF), 2017.
  • Referee, CONICYT, Chilean National Science and Technology Commission, Chile, 2016.
  • Referee, Chang Jiang Scholars Program, Ministry of Education of China, 2015.
  • Referee, EPSRC, 2015 – present, top 7% best referee award from EPSRC.
  • Referee, ‘973’ Project Funding Scheme, Ministry of Science and Technology, China, 2014.
  • Referee, P 26676-N15, “Incremental Optimization and Design of Experiments for Evolving Non-Linear Models”, Austrian Science Fund, Nov 2013.

 

Editorial Board

  • Executive Editor, Themed Issues, Editorial Board, Transactions of the Institute of Measurement & Control (Sage), 2016-present
  • Associate Editor, IET Smart Grid, 2018-present
  • Associate Editor, Control Engineering Practice, 2018-present
  • Member, Editorial Board, Journal of Modern Power Systems and Clean Energy (Springer), 2017-present
  • Member, Editorial Board, Neurocomputing (Elsevier), 2005-present
  • Associate Editor, Editorial Board, Transactions of the Institute of Measurement & Control (Sage), 2005-present
  • Member, Editorial Board, Int. J. of Modelling, Identification and Control (inderscience), 2007-present
  • Member, Editorial Board, Cognitive Computation (Springer, NY, USA), 2009- present
  • Member, Editorial Board, Electricity Generation Technology, 2017-present

 

Guest Editor

  • Guest Editor, one special issue, Journal of Modern Power Systems and Clean Energy, 2014
  • Leading Guest Editor, one special issue, Mathematical Problems in Engineering, 2014
  • Guest Editor, three special issues, Neurocomputing, 2007, 2010, 2012
  • Guest Editor, one special issues, IFAC Journal of Mechatroncis, 2010
  • Guest Editor, one special issue, Neural Computing and Applications, 2010
  • Guest Editor, four special issues, Transactions of the Institute of Measurement and Control, 2006, 2007, 2010, 2012
  • Guest Editor, one special issue, Applied Mathematics and Computation, 2007.
  • Guest Editor, two special issues, International Journal of Modelling, Identification and Control, 2008.
  • Guest Editor, one special issue, Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, 2007.
  • Guest Editor/co-editor, two special issues, International Journal of Information Technology, 2005.
  • Volume Editor/Co-editor, 14 volumes of Springer’s Lecture Notes series, including Lecture Notes in Computer Science (LNCS) (4 volumes), Lecture Notes in Artificial Intelligence (LNAI) (1 volumes), Lecture notes in Bioinformatics (LNBI) (3 volumes), and Lecture Notes in Control and Information Sciences (LNCIS) (5 volumes), 2006, 2007, 2010, 2012, 2014

 

Conference Organization

  • Local Chair, 2018 XXII World Congress of the International Measurement Confederation (IMEKO) Belfast, September 3-7, 2018.
  • General Co-Chair, 2018 International Conference on Intelligent Manufacturing and Internet of Things (IMIOT 2018), and Intelligent Computing for Sustainable Energy and Environment (ICSEE’18), September, Chongqing, 2018, China.
  • General Co-Chair, 2017 International Conference on Life System Modelling and Simulation (LSMS 2017), and on Intelligent Computing for Sustainable Energy and Environment (ICSEE’17), September, Nanjing, 2017, China.
  • Technical Symposium Chair, Electronics and Control Systems, The International Conference on Recent Advances on Signal Processing, Telecommunications & Computing (SIGTELCOM 2017), Jan 9-11, Da Nang, Vietnam, 2017.
  • Chair, 2016 UK-China Workshop on ‘Shaping Low Carbon Energy Future’, Belfast, 28-31, August, 2016.
  • Programme Chair, 2016 UKACC Control Conference, Belfast, August, 2016.
  • Advisory Committee Co-Chair, International Conference on Information, System and Convergence Applications, ICISCA 2015, Kuala Lumpur, Malaysia, June 24-27, 2015.
  • Local Arrangement Co-Chair, 2015 International Joint Conference on Neural Networks, Killarney Convention Centre, Killarney, Ireland, July 12–16, 2015.
  • Chair, Opening Ceremony, The 7th Asia-Pacific Power and Energy Engineering Conference (APPEEC 2015), April 12 to 14, Beijing, China
  • Chair, Opening Ceremony, The 6th Asia-Pacific Power and Energy Engineering Conference (APPEEC 2014), April 14 to 16, 2014, Shanghai, China
  • General Co-Chair, 2014 International Conference on Life System Modelling and Simulation (LSMS 2014), and on Intelligent Computing for Sustainable Energy and Environment (ICSEE’14), September, Shanghai, 2014, China.
  • Chair, International Program Committee, 2014 International Conference on Intelligent Computing (ICIC’14), August 3-6, 2014, in Taiyuan, China.
  • Area Chair, 2014, International Conference on Extreme Learning Machines (ELM2014), Singapore, December 8-10, 2014.
  • General Chair, 2012 Science Bridge Forum and the second International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE’12), Shanghai, September 12-13, 2012, China.
  • Chair, Invited Session Chair (Europe), 5th IEEE International Conference on Cybernetics and Intelligent Systems (CIS), Sept 17-19, 2011, Tsingdao, China.
  • Chair, Invited Session Chair, International Conference on Modelling, Identification and Control, June 26-29, 2011, Shanghai, China.
  • Chair, International Program Committee, International Conference on Life System Modelling and Simulation, September 17-21, 2010, Wuxi, China. Jointly organised by Queen’s University Belfast, Shanghai University, and Jiangnan University.
  • Chair, International Program Committee, International Conference on Intelligent Computing for Sustainable Energy and Environment, September 17-21, 2010, Wuxi, China. Jointly organised by Queen’s University Belfast and Shanghai University.
  • Chair, EPSRC funded 2nd New-Ace Workshop on Computational Intelligence in Identification and Control, 15-16th September 2008, Queen’s University Belfast, Belfast.
  • Chair, International Program Committee, International Conference on Life System Modelling and Simulation 2007, September 14-17, Shanghai, China. Jointly organised by Queen’s University Belfast and Shanghai University (more than 1300 paper contributions from over 21 countries and regions).
  • Chair, International Program Committee, International Conference on Intelligent Computing 2006 (ICIC’06), August 2006, Kuming, China. Jointly organised by Queen’s University Belfast and IIM of Chinese Academy of Science (more than 3000 paper contributions from over 36 countries and regions).
  • Co-Chair, Steering Committee, International Conference on Intelligent Computing 2007 (ICIC’07), August 2007, Qingdao, China.
  • Chair, Special sessions committee, International Conference on Modelling, Identification and Control, Shanghai, China, June 26-29, 2008.

 

Journal Publication

  • Kailong Liu, Changfu Zou, Kang Li, Torsten Wik, “Charging Pattern Optimization for Lithium-Ion Batteries with An Electrothermal-Aging Model”, IEEE Transactions on Industrial Informatics, 2018, accepted.
  • Juan Yan, Kang Li, Erwei Bai, Xiaodong Zhao, Yusheng Xue, Aoife Foley, ‘Analytical Iterative Multi-Step Interval Forecasts of Wind Generation Based on TLGP’, IEEE Transactions on Sustainable Energy, 2018, accepted.
  • Shaojun Gan, Shan Liang, Kang Li, Jing Deng, Tingli Cheng, ‘Trajectory length prediction for intelligent traffic signalling: a data driven approach,’ IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 2, 426 – 435, 2017. DOI: 10.1109/TITS.2017.2700209.
  • Cheng Zhang, Kang Li, Jing Deng, Shiji Song, ‘Improved Real-time State-of-Charge Estimation of LiFePO4 Battery Based on a Novel Thermoelectric Model’, IEEE Transactions on Industrial Electronics, Vol 64, No. 1, pp 654-663, 2017, DOI: 10.1109/TIE.2016.2610398.
  • Dajun Du, Rui Chen, Minrui Fei and Kang Li, ‘A novel networked online recursive identification method for multivariable systems with incomplete measurement information’. IEEE Transactions on Signal and Information Processing over Networks, Vol. 3, No. 4, 2017, pp. 744 – 759. DOI: 10.1109/TSIPN.2017.2662621.
  • Xiandong Xu, Kang Li, Hongjie Jia, Xiaodan Yu, Jing Deng, Yunfei Mu, ‘Data-Driven Dynamic Modeling of Coupled Thermal and Electric Outputs of Microturbines.’ IEEE Transactions on Smart Grid, 2016, 10.1109/TSG.2016.2590022.
  • Shaojun Gan, Shan Liang, Kang Li, Jing Deng, Tingli Cheng, ‘Long-term ship speed prediction for intelligent traffic signalling’, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 1, pp. 82-91, 2017.
  • Juan Yan, Kang Li, Erwei Bai, Jing Deng, Aoife Foley, ‘Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process’, IEEE Transactions on Sustainable Energy, Vol 7, No. 1, pp. 87-95, 2016. 10.1109/TSTE.2015.2472963.
  • Yuanjun Guo, Kang Li, David Laverty, Yusheng Xue, ‘Synchrophasor-Based Islanding Detection for Distributed Generation Systems Using Systematic Principal Component Analysis Approaches’. IEEE Transactions on Power Delivery, Vol. 30, No. 6, pp. 2544-2552, 2015. 10.1109/TPWRD.2015.2435158
  • Liu, D.M. Laverty, R.J. Best, Kang Li, D.J. Morrow, S. McLoone, ‘Principal Component Analysis of Wide Area Phasor Measurements for Islanding Detection – A Geometric View’, IEEE Transactions on Power Delivery, Vol. 30, No. 2, pp. 976-985, 2015.
  • Wenxiao Zhao, Han-Fu Chen, Er-Wei Bai, and Kang Li, ‘Kernel-Based Local Order Estimation of Nonlinear Nonparametric Systems’, Automatica, Vol. 51, 2015, pp 243–254.
  • Long Zhang, Kang Li, “Forward and backward Least Angle Regression’, Automatica, 2015, Vol.53, pp. 94–102.
  • Zhile Yang; Kang  Li; Yuanjun Guo; Haiping Ma; Min Zheng, “Compact Real-valued Teaching-Learning Based Optimization with the Applications to Neural Network Training”, Knowledge-Based Systems, 2018, https://doi.org/10.1016/j.knosys.2018.06.004.
  • Juai WU, Yusheng XUE, Dongliang XIE, Kang LI, Fushuan WEN, Junhua ZHAO, Guangya YANG, Qiuwei WU. ‘Multi-agent modeling and analysis of EV users’ travel willingness based on an integrated causal/statistical/behavioral model’, Journal of Modern Power Systems and Clean Energy, 2018, https://doi.org/10.1007/s40565-018-0408-2.
  • C Jiang, Yusheng XUE, J Huang, Feng XUE, Fushuan WEN, Kang LI, Guangya YANG, Qiuwei WU. ‘Aggregated impact of allowance allocation and power dispatching on emission reduction’, Journal of Modern Power Systems and Clean Energy, 2017, 5 (6), 936-946.
  • Li, Y. Liu, Z. Yang, X. Yang, K. Li, ‘A mean-square error constrained approach to robust stochastic iterative learning control, IET Control Theory & Applications, Vol. 12, No. 1, pp 38-44, 2018.
  • Kailong Liu, Kang Li, Qiao Peng, Yuanjun Guo, Li Zhang, ‘Data-driven hybrid internal temperature estimation approach for battery thermal management’, Complexity, 2018, accepted.
  • Jianhua Zhang, Kang Li and Jinliang Xu, ‘Recent developments of control strategies for organic Rankine cycle (ORC) systems’, Transactions of Institute of Measurement and Control, 2018, accepted.
  • Kailong Liu, Kang Li, Cheng Zhang, ‘A brief review on key technologies in the battery management system of electric vehicle’, Frontiers of Mechanical Engineering, 2018, accepted.
  • Kailong Liu, Kang Li, Haiping Ma, Jianhua Zhang, ‘Multi-objective optimization of charging patterns for Lithium-ion battery management’, Energy Conversion and Management, 2018, Vol. 159, 2018, Pages 151–162. DOI: 10.1016/j.enconman.2017.12.092.
  • Weihua Deng, Kang Li, Jing Deng, ‘Event-triggered H infinity position control of receiver coil for effective mobile wireless charging of electric vehicles’, Transactions of Institute of Measurement and Control, 2017, online DOI: 10.1177/0142331217739084.
  • Wenxiao Zhao, Han-Fu Chen, Er-Wei Bai, and Kang Li, ‘Local Variable Selection of Nonlinear Nonparametric Systems by First Order Expansion’, System Control Letters, Vol 111, 2018, Pages 1-8.
  • Zhile Yang, Kang Li, Qun Niu, Yusheng Xue. ‘A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem’, Knowledge-Based Systems, Vol. 134, 2017, Pages 13-30.
  • Xiandong Xu, Kang Li, Xiaodan Yu, Hongjie Jia, Yuanjun Guo, ‘Implications of gas infrastructure in the integrated community energy system’, Journal of Energy Engineering, 2017, Vol 143 (5): 04017053. DOI: 10.1061/(ASCE)EY.1943-7897.0000475.
  • Yongling Wu, Shaoyuan Li, Kang Li, ‘Enhanced Receding Performance for On-line Tuning of PID Controller Parameters’, International Journal of Modelling, Identification and Control, 2017, accepted.
  • Kailong Liu, Kang Li and Cheng Zhang, ‘Constrained generalized predictive control of battery charging process based on a coupled thermoelectric model’, Journal of Power Sources, 2017, Vol. 347, Pages 145–158. 10.1016/j.jpowsour.2017.02.039.
  • Jianhua Zhang, Mingming Lin, Junghui Chen, Jinliang Xu, Kang Li, ‘PLS-based multi-loop robust H2 control for improvement of operating efficiency of waste heat energy conversion systems with organic Rankine cycle’, Energy, Vol 123, Pages 460–472, 2017.
  • Kailong Liu, Kang Li, Zhile Yang, Jing Deng, ‘An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model’, Electrochimica Acta, Vol. 225, pp. 330–344, 2017.
  • Joseph Devlin, Kang Li, Paraic Higgins, Aoife Foley, “Gas Generation and Wind Power: A Review of Unlikely Allies in the United Kingdom and Ireland’, Renewable & Sustainable Energy Reviews, Vol. 70, 2017, pp. 757-768.
  • Zhile Yang, Kang Li, Qun Niu, Yusheng Xue. ‘A comprehensive study of economic unit commitment of power systems integrating various renewable generations and plug-in electric vehicles’, Energy Conversion and Management, Vol. 132, 460–481, 2017.
  • Xiandong Xu, Kang Li, Fengyu Qi, Hongjie Jia, Jing Deng, ‘Identification of microturbine model for long-term dynamic analysis of distribution networks.’ Applied Energy, Vol. 192, pp. 305-314, 2017.
  • Joseph Devlin, Kang Li, Paraic Higgins, Aoife Foley, “A multi-vector energy analysis for interconnected power and gas Systems’, Applied Energy, Vol. 192, pp. 315-328, 2017.
  • Paolo Lino, Guido Maione, Fabrizio Saponaro, Kang Li, ‘Evolutionary Optimization of Model Parameters for Electro-injectors in Common Rail Diesel Engines’, ASME Journal of Dynamic Systems, Measurement and Control, Vol.138, No.4, pp: 041001-041008, DOI: 10.1115/1.4032481, 2016.
  • Jianhua Zhang, Mingming Lin; Fang Fang; Jinliang Xu; Kang Li. ‘Gain scheduling control of waste heat energy conversion systems based on an LPV (linear parameter varying) model’. Energy, Vol. 107, pp. 773-783, 2016.
  • Juan Yan, Kang Li, Erwei Bai, Zhile Yang, Aoife Foley, ‘Time series wind power forecasting based on variant Gaussian Process and TLBO’, Neurocomputing, Vol. 189, pp. 135–144, 2016.
  • Min Zheng, Zheng Mao, Kang Li, Minrui Fei, “Quadratic Separation Framework for Stability Analysis of a Class of Systems with Time Delays”, Neurocomputing, Vol. 174, Part A, pp. 466–474, 2016.
  • Er-Wei Bai, Kang Li, Wenxiao Zhao, Biqing Mu, Wei-Xing Zeng, ‘Variable Selection in Nonlinear Non-parametric System Identification’, SCIENTIA SINICA Matehmatica, Science China Mathematics, 2016, Vol 46, pp. 1383-1400.
  • Songyan Wang, Daren Yu, Jilai Yu, Wei Zhang, Aoife Foley, Kang Li, ‘Optimal Generation Scheduling of Interconnected Wind-Coal Intensive Power Systems’, IET Generation, Transmission & Distribution, Vol. 10, pp 3276 – 3287, 2016.
  • Yusheng Xue, Chen Yu, Kang Li, Fushan Wen, Yi Ding, Qiuwei Wu, Guangya Yang. ‘Adaptive Ultra-short-term Wind Power Prediction Based on Risk Assessment’. CSEE Journal of Power and Energy Systems, Vol. 2, No. 3, pp: 59 – 64, 2016.
  • Liu, Z. Chen, Z. Yang, K. Li, J. Tan, ‘An Inline Surface Measurement Method for Membrane Mirror Fabrication Using Two-stage Trained Zernike Polynomials and Elitist Teaching-Learning Based Optimization, Measurement Science and Technology, 2016, 27(12): 124005.
  • Joseph Devlin, Kang Li, Paraic Higgins, Aoife Foley, “System Flexibility Provision Using Short Term Grid Scale Storage’, IET Generation, Transmission & Distribution, Vol. 10, No. 3, p. 697 – 703, 2016. 10.1049/iet-gtd.2015.0460.
  • Joseph Devlin, Kang Li, Paraic Higgins, Aoife Foley, “The Importance of Gas Infrastructure in Power Systems with High Wind Power Penetrations’, Applied Energy, Vol. 167, pp. 294–304, 2016. doi:10.1016/j.apenergy.2015.10.150.
  • Yongling Wu, Xiaodong Zhao, Kang Li, Min Zheng, Shaoyuan Li, “Energy Saving – Another Perspective for Parameter Optimization of P and PI Controllers”, Neurocomputing, Vol. 174, Part A, p. 500–513, 2016. 10.1016/j.neucom.2015.05.124.
  • Cheng Zhang, Kang Li, Jing Deng, ‘Real-time Estimation of Battery Internal Temperature Based on a Simplified Thermoelectric Model’, Journal of Power Sources, Vol. 302,  pp.146–154, 2016.
  • Xiandong Xu, Xiaolong Jin, Honjie Jia, Xiaodan Yu, Kang Li, “Hierarchical energy management for integrated community energy systems’, Applied Energy, Vol. 160, pp. 231-243, 2015.
  • Jianhua Zhang, Mingming Lin, Junghui Chen, Kang Li, Jinliang Xu, ‘Multiloop robust H-inf control design based on the dynamic PLS approach to chemical processes’. Chemical Engineering Research and Design, Vol. 100, 2015, Pages 518–529.
  • Xiuyuan Yang, Yao Chen, Qiyu Chen, Tim Littler, Kang LI. ‘Application of Lead Differential Control in Coordinated Hydro and Wind Power Generation. Proceedings of the CSEE, 2015, 35(18): 4591-4597.’
  • 杨秀媛,陈瑶,陈麒宇,Tim Littler,李慷. 导前微分控制在风电水电协同运行中的应用[J]. 中国电机工程学报, 2015, 35(18): 4591-4597.
  • Yanliang Cui, Minrui Fei, Dajun Du, Kang Li, “Event-triggered consensuses of multi-agent systems with data transmission delays and random packet dropouts’,  Control Theory & Applications, Vol. 32, No. 9, pp. 1208-1218, 2015.
  • Jianhua Zhang, Luyao Zhang, Junghui Chen, Jinliang Xu, Kang Li, ‘Performance assessment of cascade control loops with non-Gaussian disturbances using entropy information’, Chemical Engineering Research and Design, Vol. 104, 2015, Pages 68–80.
  • Higgins, K. Li, J Devlin, A.M. Foley, ‘The significance of interconnector counter-trading in a security constrained electricity market’, Energy Policy, Vol. 87, pp 110-124, 2015.
  • Zhang, Q. Niu, Z. Yang and Kang Li, ‘Integration of Electric Vehicles Charging in Unit Commitment’, International Journal of Computer Science and Electronics Engineering, Vol.3, No. 1, pp 22-27, 2015.
  • Zhile Yang, Kang Li, Aoife Foley, ‘Computational scheduling methods for integrating plug-in electric vehicles with power systems: a review’, Renewable & Sustainable Energy Reviews, Vol. 51, pp. 396–416, 2015.
  • Y Guo, K Li, Zhile Yang, Jing Deng, D Laverty, ‘A novel radial basis function neural network principal component analysis scheme for PMU-based wide-area power system monitoring.’ Electric Power Systems Research, Vol. 127, 2015, pp 197–205.
  • 郁琛,薛禹胜,文福拴,董朝阳,K.P. WONG,Kang LI, 按时序特征优化模型后在线选配的超短期风电预测, 电力系统自动化, Vol. 39, No. 8, pp: 5-11. DOI: 10.7500/AEPS20141230007, 2015.
  • Chen Yu, Yusheng Xue, Fushuan Wen, K.P. WONG,Kang LI, ‘An Ultra-short-term Wind Power Prediction Method Using “Offline Classification and Optimization, Online Model Matching Based on Time Series Features’. Automation of Electric Power Systems, 2015, Vol. 39, No. 8, pp: 5-11. DOI: 10.7500/AEPS20141230007.
  • Kang Li, Editorial, ‘Advanced Control and Optimization Applications (ICSEE 2012)’, Transactions of Institute of Measurement and Control, Vol. 37(7), 843-844, 2015.
  • P.L. Zeng, K. Li, A. Cruden, G. Strbac, S. Finney, Y. Huang, X. He, S. Cheng, Editorial, ‘Special issue on electric vehicles and their integration with power grid’, Journal of Modern Power Systems and Clean Energy, Vol. 3, No. 2, 2015.
  • Yusheng Xue, Juai Wu, Dongliang Xie, Kang Li, Yu Zhang, Fushuan Wen, Bin Cai, Qiuwei Wu, Guangya Yang, ‘Multi-agents Modelling of EV Purchase Behaviours Based on Questionnaires’, Journal of Modern Power Systems and Clean Energy, Vol. 3, No. 2, pp. 149-159. 2015.  DOI 10.1007/s40565-015-0112-4.
  • David Laverty, John O’Raw, Kang Li, John Morrow. ‘Secure Data Networks for Electrical Distribution Applications’, Journal of Modern Power Systems and Clean Energy, Vol. 3, No. 3, pp. 447-455, 2015.
  • Weihua Deng, Kang Li, Jing Deng, ‘Identification and guaranteed performance control of Hammerstein systems over wireless channels’, International Journal of Automation and Computing, Vol.13, No. 2, pp 125-132, 2016.
  • Cheng Zhang, Kang Li, Lei Pei; Chunbo Zhu, ‘An Integrated Approach for Real-time Model-based State-of-Charge Estimation of Lithium-ion Batteries’, Journal of Power Sources, Vol. 283, pp. 24-36, 2015.
  • Kang Li, Guido Maione, Minrui Fei, Xingsheng Gu, ‘Recent Advances on Modeling, Control, and Optimization for Complex Engineering Systems’, Mathematical Problems in Engineering,  Article ID 746729 2015.
  • Li, S. McLoone, L. Wang, Editorial, Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012), Neurocomputing, Vol 148, No. pp 198-199, DOI:10.1016/j.neucom.2014.06.034, 2015.
  • Songyan Wang, Ning Chen, Daren Yu, Aoife Foley, Lingzhi Zhu, Kang Li, Jilai Yu. “Flexible fault ride through strategy for wind farm clusters in power systems with high wind power penetration”, Energy Conversion and Management, Vol. 93, pp: 239-248, 2015, doi:10.1016/j.enconman.2015.01.022.
  • Zhao, K. Li, “Droop setting design for multi-terminal HVDC grids considering voltage deviation impacts”, Electric Power Systems Research, Vol. 123, pp. 67–75, 2015.
  • Letian Zhang, Qun Niu, Zhile Yang, Kang Li, ‘Integration of Electric Vehicles Charging in Unit Commitment’, International Journal of Computer Science and Electronics Engineering (IJCSEE), Vol 3, No. 1, pp. 22-27, 2015.
  • Sun, K. Li, Z. Yang, Q. Niu, A. Foley. “Impact of electric vehicles on a carbon constrained power system – a post 2020 case study”. Journal of Power and Energy Engineering, Vol. 3, No. 4, pp. 114-122, 2015. ISSN: 2327-588X.
  • Zhile Yang, Kang Li, Qun Niu, Yusheng Xue, Aoife Foley, ‘A self-learning TLBO based Dynamic Economic/Environmenta; dispatch considering multiple plug-in electric vehicle loads’, Journal of Modern Power Systems and Clean Energy, DOI 10.1007/s40565-014-0087-6, Vol. 2, No. 4, pp: 298-307, 2014.
  • Zhao, K. Li, “Adaptive backstepping droop controller design for multi-terminal high-voltage direct current systems “. IET Generation, Transmission & Distribution, Vol.9, No. 10, pp. 975-983, 2015, doi: 10.1049/iet-gtd.2014.0582.
  • Guofu Zhai, Jinbao Chen, Shujuan Wang, Kang Li, Long. Zhang, ‘Material Identification of Loose Particles in Sealed Electronic Devices Using PCA and SVM’, Neurocomputing, Vol 148, pp 222-228, DOI:10.1016/j.neucom.2014.10.043, 2015.
  • Wanqing Zhao, Jingjing Zhang, K. Li, “An Efficient LS-SVM Based Method for Fuzzy System Construction”, IEEE Transactions on Fuzzy Systems, Vol. 23, No. 3, pp. 627-643, 2015. DOI: 10.1109/TFUZZ.2014.2321594.
  • Long Zhang, Kang Li, Erwei Bai, George W. Irwin, “Two-Stage Orthogonal Least Squares Methods for Neural Network Construction”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 8, pp. 1608-1621, 2015. 10.1109/TNNLS.2014.2346399.
  • A.M. Foley, P.G. Leahy, K. Li, E.J. McKeogh, A. Morrison. “A Long-term Analysis of Pumped Hydro Storage to Firm Wind Power”. Applied Energy, Vol. 137, pp. 638–648, 2015.
  • Qun Niu, Kang Li, George W. Irwin, “Differential Evolution Combined with Clonal Selection for Dynamic Economic Dispatch”, Journal of Experimental & Theoretical Artificial Intelligence, Vol. 27, No. 3, pp.325-350, 2015. DOI: 10.1080/0952813X.2014.954277.
  • Qun Niu, Hongyun Zhang, Xiaohai Wang, Kang Li, George Irwin, ‘A Hybrid Harmony Search with Arithmetic Crossover Operation for Economic Dispatch’,  International Journal of Electrical Power & Energy Systems, Vol. 62, November 2014, pp 237–257.
  • Zhao, K. Li, and M. Zheng. “Analysis of Transmission Loss in Droop Control of a Multi-Terminal HVDC System”. Journal of Power and Energy Engineering, vol. 2, 564-572. doi: 10.4236/jpee.2014.24076, 2014.
  • Guo, K. Li, and D. Laverty, “Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis”. Journal of Power and Energy Engineering, Vol. 2, 423-431. doi: 10.4236/jpee.2014.24057, 2014.
  • Higgins, R. Douglas, R, A.M. Foley, K. Li. “Impact of Offshore Wind Power Forecast Error in a Carbon Constraint Electricity Market”. Energy, 2014, Vol. 76, No.1, 2014, pp 187–197, DOI: 10.1016/j.energy.2014.06.037.
  • Qun Niu, Letian Zhang, Kang Li, “A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells’, Energy Conversion and Management, 2014, Vol. 86, pp: 1173-1185. DOI: 10.1016/j.enconman.2014.06.026.
  • Qun Niu, Hongyun Zhang, Kang Li, George W. Irwin, ‘An Efficient Harmony Search with New Pitch Adjustment for Dynamic Economic Dispatch’, Energy, Vol. 65, 1 February 2014, Pages 25–43, (doi: 10.1016/j.energy.2013.10.085).
  • Qun Niu, Hongyun Zhang, Kang Li, ‘An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models’, International Journal of Hydrogen Energy, 2014, Vol. 39, No 8, 2014, pp. 3837–3854, DOI: 10.1016/j.ijhydene.2013.12.110.
  • Chamil Abeykoon, Peter J. Martin, Kang Li, Adrian L. Kelly, ‘Dynamic Modelling of Die Melt Temperature Profile in Polymer Extrusion: Effects of Process Settings, Screw Geometry and Material’. Applied Mathematical Modelling, DOI: 10.1016/j.apm.2013.08.004, Vol. 38, pp 1224-1236, 2014.
  • Chamil Abeykoon, Adrian L. Kelly, Elaine C. Brown, Javier Vera-Sorroche, Phil D. Coates, Ken B. Howell, Eileen Harkin-Jones, Jing Deng, Kang Li, Mark Price. “Investigation of the Process Energy Demand in Polymer Extrusion: A Review and an Experimental Study”. Applied Energy, 2014, Vol. 136, 2014, Pages 726–737, DOI: 10.1016/j.apenergy.2014.09.024.
  • Chamil Abeykoon, Adrian Kelly, Javier Vera-Sorroche, Elaine Brown, Phil Coates, Jing Deng, Kang Li, Eileen Harkin-Jones, Mark Price. “Process Efficiency in Polymer Extrusion: Correlation between the Energy Demand and Melt Thermal Stability”. Applied Energy, Vol. 135, pp: 560–571, 2014, DOI: 10.1016/j.apenergy.2014.08.086.
  • Weihua Deng, K Li, Minrui Fei, “Identification and Output Tracking Control of Hammerstein Systems through Wireless Networks”, Transactions of the Institute of Measurement and Control, 2014, 36(1): 3-13, doi: 10.1177/0142331213485278.
  • Chamil Abeykoon, Peter J. Martin, Kang Li, Adrian L. Kelly,  Elaine C. Brown, and Phil D. Coates, ‘Melt temperature consistency during polymer extrusion’, Society of Plastics Engineers, Plastics Research Online, DOI: 10.2417/spepro.005245.
  • Er-Wei Bai, Kang Li, Wenxiao Zhao, Weiyu Xu, ‘Kernel Based Approaches to Local Nonlinear Non-parametric Variable Selection’, Automatica, Vol. 50, No.1, 2014, Pages 100–113, DOI:10.1016/j.automatica.2013.10.010.
  • Aolei Yang, Wasif Naeem, George W. Irwin, and Kang Li, ‘Stability analysis and implementation of a decentralised formation control strategy for unmanned vehicles’ , IEEE Transactions on Control System Technology, Vol 22, No. 2, March 2014, 706-720. DOI: 25910.1109/TCST.2013.2168.
  • Xiaoqing Tang, Brendan Fox and Kang Li, “Reserve from wind power potential in system economic loading”, IET Renewable Power Generation, Vol. 8, No. 5, July 2014, pp. 558-568, 2014, doi: 10.1049/iet-rpg.2013.0114.
  • Min Zheng, Kang Li, Minrui Fei, Comments on “Wirtinger-based integral inequality: Application to time-delay systems”, Automatica, Volume 50, Issue 1, January 2014, Pages 300–301, DOI: 10.1016/j.automatica.2013.09.047.
  • Min Zheng, Kang Li, “New Results on Stability Analysis of Delayed Recurrent Neural Networks Based on Integral Quadratic Constraints Approach”. Transactions of the Institute of Measurement and Control, 2014, Vol. 36, No. 6, PP. 780-788. DOI: 10.1177/0142331214521828.
  • Dajun Du, Kang Li, Xue Li, Minrui Fei. “A novel forward gene selection algorithm for microarray data”, Neurcomputing , Vol. 133, 2014, Pages 446–458, 2014, http://dx.doi.org/10.1016/j.neucom.2013.07.054.
  • Chamil Abeykoon, Peter J. Martin, Adrian L. Kelly, Kang Li,  Elaine C. Brown, Phil D. Coates. “Investigation of the temperature homogeneity of die melt flows in polymer extrusion”. Polymer Engineering & Science, Vol. 54, No 10, pp. 2430–2440, 2014, DOI:10.1002/pen.23784.
  • Long Zhang, Kang Li, Haibo He, George Irwin, ‘A New Discrete-Continuous Algorithm for Radial Basis Function (RBF) Networks Construction’, IEEE Transactions on Neural Networks and Learning Systems, 2013, Vol. 24, No. 11, pp. 1785 – 1798. DOI 10.1109/TNNLS.2013.2264292.
  • Jing Deng, Kang Li, Eileen Harkin-Jones, Mark Price, Nayeem Karnachi, Minrui Fei, Adrian Kelly, Javier Vera-Sorroche, Phil Coates, Elaine Brown, “Low-cost Process monitoring for polymer extrusion”, Transactions of the Institute of Measurement and Control, Vol. 36, No. 3, pp 382-390 2014, DOI: 10.1177/0142331213502696, May 2014 (InstMC ICI prize, 2015).
  • Jing Deng, Kang Li, Eileen Harkin-Jones, Mark Price, Nayeem Karnachi, Adrian Kelly, Javier Vera-Sorroche, Phil Coates, Elaine Brown, Minrui Fei, “Energy monitoring and quality control of a single screw extruder”, Applied Energy, Vol. 113, Pages 1775–1785, January 2014.  DOI:10.1016/j.apenergy.2013.08.084.
  • Xiaodong Zhao, Kang Li, Min Zheng. Analysis of Transmission Loss with Droop Control in a Multi-Terminal HVDC System. Journal of Power and Energy Engineering, Vol 2, No. 4, April 2014, pp. 564-572.
  • Dajun Du, Kang Li, Minrui Fei, Haikuan Wang, ‘A multi-output two-stage locally regularized model construction method using the extreme learning machine’, Neurcomputing, Volume 128, 27 March 2014, Pages 104–112. DOI: 10.1016/j.neucom.2013.03.056.
  • W. Zhou, M. Fei, K. Li, Haikuan Wang, Haoliang Bai, “Accurate image capturing control of bottle caps based on iterative learning control and Kalman filtering”, Transactions of Measurement and Control, 2014, Vol. 36, No. 4, pp: 465-477, DOI: 10.1177/0142331213507077.
  • M J. Vera-Sorroche, A.L. Kelly, E.C. Brown, T. Gough, C. Abeykoon, P.D. Coates, J. Deng, K. Li, N. Karnachi, E. Harkin-Jones and M. Price. The effect of melt viscosity on thermal efficiency for single screw extrusion of HDPE. Chemical Engineering Research and Design,  DOI: 10.1016/j.cherd.2013.12.025, Vol. 92, No. 11, 2014, Pp: 2404–2412.
  • Wenju Zhou, Minrui Fei, Huiyu Zhou, Kang Li, “A Sparse Representation Based Fast Detection Method for Surface Defect Detection of Bottle Caps”, Neurocomputing., 2013, Vol 123, 2014, Pages 406–414, http://dx.doi.org/10.1016/j.neucom.2013.07.038.
  • Kang Li, Yuanjun Guo, David Laverty, Haibo He and Minrui Fei. “Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations”. Proceedings of Asia-Pacific Power and Energy Engineering Conference (APPEEC 2013),  Energy and Power Engineering,  Vol. 5, No. 4B, pp.962-969, 2013. ISNN: 1949-243X, DOI: 10.4236/epe.2013.54B185.
  • Vera-Sorroche, A. Kelly, E. Brown, P. Coates, N. Karnachi, E. Harkin-Jones, K. Li, and J. Deng, “Thermal optimisation of polymer extrusion using in-process monitoring techniques,” Applied Thermal Engineering, Vol. 53, No. 2, 2013, Pages 405–413 , http://dx.doi.org/10.1016/j.applthermaleng.2012.04.013.
  • Xiao-Lei Xia, Weidong Jiao, Kang Li and George Irwin, “A Novel Sparse Least Squares Support Vector Machine,” Mathematical Problems in Engineering, Vol. 2013 (2013), Article ID 602341, 10 pages. http://dx.doi.org/10.1155/2013/602341.
  • Bing Li, Shiji Song, K. Li, “A fast iterative single data approach for training unconstrained least squares support vector machines”, Neurocomputing. Vol. 115, No. 4, 2013, pp 31-38, doi: 10.1016/j.neucom.2012.11.030.
  • Kang Li, Shiji Song, Shiwei Ma, Editorial, “Intelligent Computing in Measurement, Modelling and Control Applications (LSMS and ICSEE 2010)”, Transactions of Institute of Measurement and Control, DOI: 10.1177/0142331212472299, Vol. 35, No. 1, pp.3, 2013.
  • Paul Kump, Er-Wei Bai, Kung-sik Chan, Bill Eichinger, K. Li. “Variable Selection via RIVAL (Removing Irrelevant Variables Amidst Lasso Iterations) and Its Application to Nuclear Material Detection”, Automatica, 10.1016/j.automatica.2012.06.051,  Vol. 48, No. 9, 2012, Pages 2107–2115.
  • Long Zhang, Kang Li, Erwei Bai, ‘A New Extension of Newton Algorithm for Radial Basis Function (RBF) Networks Modelling’, IEEE Transactions on Automatic Control, 2013, 10.1109/TAC.2013.2258782, Vol. 58 , No. 11, pp. 2929 – 2933, 2013.
  • Wanqing Zhao, K. Li, and George W. Irwin, “A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models”, IEEE Transactions on Fuzzy Systems, 2013, Vol. 21, No. 1, pp. 30-44.
  • Gormley, K Li, Olaf Wolkenhauer, G. W. Irwin, D. Du, “Reverse engineering of biochemical reaction networks using co-evolution with eng-genes”, Cognitive Computation, March 2013, Vol. 5, No. 1, pp 106-118, DOI: 10.1007/s12559-012-9159-y.
  • Barbara Pizzileo, K. Li, George W. Irwin and Wanqing Zhao, ‘Improved structure optimization for fuzzy-neural networks’, IEEE Transactions on Fuzzy Systems, Vol. 20, No. 6, pp: 1076-1089, 2012. DOI: 10.1109/TFUZZ.2012.2193587.
  • Wanqing Zhao, Qun Niu, K. Li, and George W. Irwin, “A Hybrid Learning Method for Constructing Compact Rule-based Fuzzy Models’, IEEE Transactions on Cybernetics, DOI: 10.1109/TSMCB.2012.2231068, Vol. 43. 2013, No.6, pp 1807-1821.
  • Hua Yang, S.Y. Li, K Li, “Order estimation of multivariable ill-conditioned processes based on PCA method’, Journal of Process Control, Vol. 22,  pp. 1397– 1403, 2012.
  • Li, G. W. Irwin, T.H. Lee, Editorial – Intelligent Mechatronics (LSMS2010 & ICSEE2010), Mechatronics, 2012, Mechatronics 22 (2012) pp. 651-652. DOI:10.1016/j.mechatronics.2012.08.008 .
  • Li, X Hong, G. Maione, Q. Niu, Editorial, Bio-inspired Computing and Applications (LSMS-ICSEE 2010), Neurocomputing, DOI: 10.1016/j.neucom.2012.05.014, Vol 98, pp 1-3, 2012.
  • Li, Haibo He, Q. Niu, Editorial, Special issue on Intelligent Computing and Applications (LSMS-ICSEE 2010), Neural Computing and Applications, 2012, DOI: 10.1007/s00521-012-1122-z, September 2012, Volume 21, Issue 6, pp 1085-1086.
  • Minrui Fei, Weihua Deng, K. Li, and Yang Song, “Stabilization of a Class of Networked Control Systems with Stochastic Properties”, International Journal of Modelling, Identification and Control, Vol. 17, No. 1, pp 1-7, 2012.
  • Weihua Deng, K Li, George Irwin, Minrui Fei, “Identification and Control of Hammerstein Systems via Wireless Networks”, International Journal of Systems Science, Volume 44, Issue 9, 2013, pp 1613-1625, DOI: 10.1080/00207721.2012.659703.
  • Bing Li, Shiji Song, K. Li, “Improved Conjugate Gradient Implementation for Least Squares Support Vector Machines’, Pattern Recognition Letters, Volume 33, Issue 2, 15 January 2012, Pages 121-125.
  • Haibo He, Sheng Chen, K Li, Xin Xu. “Incremental Learning from Stream Data”. IEEE Transactions on Neural Networks, 2011, Vol 22, No. 12, pp. 1901-1914.
  • E-W Bai, K. Li. “Convergence of the Iterative Algorithm for a General Hammerstein System Identification”, Automatica, Vol. 46, No.11, November 2010, pp 1891-1896.
  • Chamil Abeykoona, K Li, Peter J. Martin, Adrian L. Kelly, “Monitoring and Modelling of the Effects of Process Settings and Screw Geometry on Melt Pressure Generation in Polymer Extrusion”, International Journal of System Control and Information Processing  (IJSCIP), , 2012 Vol.1, No.1, pp.71 – 88.
  • Xueqin Liu, K. Li, Marion McAfee, Jing Deng, “Application of Nonlinear PCA for Fault Detection in Polymer Extrusion Processes”, Neural Computing and Applications,  10.1007/s00521-011-0581-y, Volume 21 Issue 6, September 2012, Pages 1141-1148.
  • Xueqin Liu, K. Li, M. McAfee, Dynamic gray-box modeling for online monitoring of extrusion viscosity. Polymer Engineering & Science, Vol 52, No 6, pp 1332-1341, June 2012, DOI: 10.1002/pen.23080.
  • Du, K. Li, G. W. Irwin and J. Deng, “A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine”. Neurocomputing , Volume 102, 15 February 2013, Pages 10–22, http://dx.doi.org/10.1016/j.neucom.2011.12.052 .
  • Xueqin Liu, K. Li, Marion McAfee, G. Irwin, “Improved Nonlinear PCA for Process Monitoring Using Support Vector Data Description”, Journal of Process Control, Volume 21, Issue 9, October 2011, Pages 1306-1317, 10.1016/j.jprocont.2011.07.003.
  • Jing Deng, K. Li, George W. Irwin, Minrui Fei, “Two-stage RBF network construction based on particle swarm optimization”, Transactions of the Institute of Measurement and Control, doi: 10.1177/0142331211403795, 2011.
  • Jing Deng, K Li, George W. Irwin, “Fast automatic two-stage nonlinear model identification based on Extreme Learning Machine”, Neurocomputing, 74 (16): 2422–2429, 2011, doi:10.1016/j.neucom.2010.11.035.
  • Jing Deng, K Li, George W. Irwin, “Locally regularised two-stage learning algorithm for RBF network centre selection”, International Journal of Systems Science , DOI: 10.1080/00207721.2010.545490, pages 1157-1170, Volume 43, Issue 6, 2012.
  • Wen Yu, K Li, Xiaoou Li, “Automated nonlinear system modeling with multiple neural networks”, International Journal of Systems Science , Volume 42, Issue 10, 2011, pp 1683-1695, DOI: 10.1080/00207721003624550, 2011.
  • Chamil Abeykoona, K Li, Marion McAfee, Peter J. Martin, Qun Niu, Adrian L. Kelly, Jing Deng, “A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion”, Control Engineering Practice, , Vol 19, No 8, 2011, pp 862-874.
  • Chamil Abeykoona, Marion McAfee, K Li, Peter J. Martin, Adrian L. Kelly, “The inferential monitoring of the screw disturbance torque to predict process fluctuations in polymer extrusion”, Journal of Materials Processing Technology, Volume 211, Issue 12, December 2011, Pages 1907-1918.
  • Hui Pan, Minrui Fei* and Ling Wang, K Li, Lin Qiang, “Direct Nyquist array design of PID controllers for boiler-turbine units based on gain and phase margins”, Int. J. Computer Applications in Technology, Vol. 43, No. 1, pp 4-12, 2012.
  • Du, K. Li, M. Fei, “A fast multi-output RBF neural network construction method”, Neurocomputing, Vol. 73, 2010, pp 2196-2202.
  • Xia, K. Li, G. W. Irwin, “A hierarchical multiclass support vector machine incorporated with holistic triple learning units”, Soft Computing, Volume 15, Number 5, 833-843, DOI: 10.1007/s00500-010-0551-9, 2011.
  • K Li, Haibo He, Dajun Du, J Deng, “Compact Extreme Learning Machines for Biological Systems”, Invited paper, International Journal of Computational Biology and Drug Design, 2010, Vol. 3, No. 2, 112-132.
  • T. Cunningham, M. H. Mooney, X.L. Xia, S. Crooks, D. Matthews, M. O. Keeffe, K. Li and C. T. Elliott. Feasibility of a Clinical Chemical Analysis Approach to Predict Misuse of Growth Promoting Hormones in Cattle. Analytic Chemistry, 2009, 81 (3), pp 977–983.
  • Li, and H. Wu, Editorial, “Special Issue on Computational Intelligence Part 1”, International Journal of Modelling, Identification and Control, Vol. 8(2), 89-90, 2009.
  • Li, and H. Wu, Editorial, “Special Issue on Computational Intelligence Part 2”, International Journal of Modelling, Identification and Control, Vol. 8(3), 173-174, 2009.
  • Pizzileo, K. Li, and G. W. Irwin, “A fast method for fuzzy neural network modelling and refinement”, International Journal of Modelling, Identification and Control, Vol. 8(3), 175-183, 2009.
  • Xia, K. Li, G. W. Irwin, “Two-stage gene selection for support vector machine classification of microarray data”, International Journal of Modelling, Identification and Control, Vol. 8(2), 164 – 171, 2009, DOI: 10.1504/IJMIC.2009.029029.
  • Hong, R.J. Mitchell, S. Chen, C. J. Harris, K. Li, G. W. Irwin. “Model selection approaches for non-linear system identification: a review”. International Journal of Systems Science , Vol. 39, No. 10, 925–946, October 2008.
  • Li, J. Peng, E-W Bai. “Two-stage mixed discrete-continuous identification of Radial Basis Function (RBF) neural models for nonlinear systems”. IEEE Transactions on Circuits & Systems, Vol 56, No. 3, 630-643, March 2009.
  • Li, Editorial, Special issue on Life System Modelling and Simulation, Transactions of the Institute of Measurement and Control, Vol. 30, No. 3-4, 205-206, 2008.
  • Li, X Hong, G. W. Irwin, Editorial, Life System Modelling, Simulation, and Bio-inspired Computing, Special issue on Life System Modelling and Simulation, Neurocomputing, Vol 72, Nos 1-3, 126-127, 2008.
  • S Huang, H. He, K. Li, Editorial, Special issue on Life System Modelling and Simulation, Applied Mathematics and Computation, Vol 205, 3-5, 2008.
  • Ma, K. Li, “Fast parametric time-frequency modeling of nonstationary signals”, Applied Mathematics and Computation, Vol. 205, 170–177, 2008.
  • Gormley, K Li, G. W. Irwin, “Modelling molecular interaction pathway using a two-stage Identification Algorithm”, Systems and Synthetic Biology, 1(3): 145–160, 2008.
  • Fei, D. Du, K. Li, “A fast model identification method for networked control system”. Applied Mathematics and Computation , Vol 205, No 2, 658-667, 2008.
  • P.K. Li, K. Li, “A Recursive Algorithm for Nonlinear Model Identification”. Applied Mathematics and Computation, Vol 205, No 2, Pages 511-516, 2008.
  • Peng, K. Li, G. W. Irwin. “A new Jacobian matrix for optimal learning of single-layer neural nets”. IEEE Transactions on Neural Networks, Vol. 19, No.1, 119-129, 2008.
  • Connally, K. Li, G. W. Irwin. “Integrated Structure Selection and Parameter Optimisation for Eng-genes Neural Models”, Neurocomputing, Vol 71, No 13-15, 2964-2977, 2008.
  • C-H Zheng, D-S Huang, K. Li and G. W. Irwin, “MISEP Method for Post-Nonlinear Blind Source Separation”. Neural Computation, 19: 2557-2578, 2007.
  • Peng, K. Li, G. W. Irwin. “A novel Continuous forward algorithm for RBF neural modelling”, IEEE Transactions on Automatic Control, Vol 52, No.1, pp. 117-122, 2007.
  • Connally, K. Li, G. W. Irwin. “Prediction- and Simulation-error Based Perceptron Training: Solution Space Analysis and a Novel Combined Training Scheme”. Neurocomputing Vol 70, 819-827, 2007.
  • Li, J. Peng. “Neural Input Selection – A Fast Model Based Approach”. Neurocomputing , Vol 70, pp 762-769, 2007.
  • Yao; M. Fei, K. Li, H. Kong, B. Zhao. “A distributive genetic algorithm for recognition of blue-green algal using neural networks”. Neurocomputing, Vol 70, 641-647, 2007.
  • Cervantes, X. Li, W. Yu, K. Li. “Support vector machine classification for large data sets via minimum enclosing ball clustering”. Neurocomputing, Volume 71, Issues 4-6, Pages 611-619, 2008.
  • Li, J. Peng, E-W Bai. “A two-stage algorithm for identification of nonlinear dynamic systems”. Automatica, Vol. 42, No 7, pp. 1189-1197, 2006.
  • Peng, K. Li, D.S. Huang. “A Hybrid forward Algorithm for RBF neural Network construction”. IEEE Transactions on Neural Networks, Vol 17, No. 6, pp 1439-1451, 2006.
  • Li, J. Peng, “System Oriented Neural Networks – Problem Formulation, Methodology, and Application”, International Journal of Pattern Recognition and Artificial Intelligence , Vol. 20, No. 2 (2006) 143-158.
  • Peng, K. Li, S. Thompson, P. A. Wieringa. “Distribution-based Adaptive Bounding Genetic Algorithm for Continuous Optimisation Problems”. Applied Mathematics and Computation., Vol 185: 1063–1077, 2007.
  • Shang, K. Li, Tat-Ming Lok and M. R. Lyu, “A Novel Non-negative Shrinkage Technique Based on The Normal Inverse Gaussian Density Model”, Transactions of the Institute of Measurement and Control , Vol. 28, No. 1 (2006): 109-119.
  • Wang, K. Li, “A New Algorithm Based on Support Vectors and the Penalty Strategy for Identifying Key Genes Related with Cancer”, Transactions of the Institute of Measurement and Control , Vol. 28, No. 3, 263-273, 2006.
  • Li, J. Peng, S. Thompson, “Genetic neural Modeling of pollutant Emissions from thermal power plants”, Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, Vol. 14, pp 48-56, 2007.
  • Li, J. Peng, Editorial, Supplemental issue on Intelligent Computing Theory and Methodology, Special Issue on Intelligent Computing, Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, Vol. 14, Pages: I-III, 2007.
  • Li, Editorial, Special issue on Intelligent Computing, Transactions of the Institute of Measurement and Control, Vol. 28, No. 1 (2006): 1-2.
  • T.X. Mei, K. Li, Q. Zhao, G. Maione, Editorial, Special Issue on Automatic Control and Information, International Journal of Information Technology, Vol. 11, No. 11, 2005.
  • Li, W. Yu, S.H Yang, S. Sharma, Editorial, Special issue on Evolutionary Algorithm & Advanced Learning System, International Journal of Information Technology, Vol. 11, No. 10, 2005.
  • Li, J. Peng, G. Irwin, “A fast nonlinear model identification method”, IEEE Transactions on Automatic Control, Vol. 50, No. 8, 1211-1216, 2005.
  • Li, S. Thompson, J. Peng, “Modelling and prediction of NOx emission in a coal-fired power generation plant”, Control Engineering Practice, Vol. 12, 707-723, 2004.
  • Li, P.A. Wieringa, “Understanding perceived complexity in human supervisory control”, Cognition, Technology & Work, 2000, Vol. 2, No.2, 75-88.
  • K. Li, Y.G. Xi, Z. Zhang, “G-cactus and new results on structural controllability of composite systems”, International Journal of Systems Science, Vol. 27, pp.1313-1326, 1996.

 

Edited International Conference Proceedings

  • Li, M. Fei, D. Du, Z. Yang, D. Yang (editors), Intelligent Computing and Internet of Things, Communications in Computer and Information Science book series, CCIS, volume 924. First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part II.
  • Li, J. Zhang, M. Chen, Z. Yang, Q. Niu (editors), Advances in Green Energy Systems and Smart Grid, Communications in Computer and Information Science book series, CCIS, volume 925. First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part III.
  • Li, Y. Xue, S. Cui, Q. Niu, Z. Yang, P. Luk (editors), Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. Communications in Computer and Information Science book series, CCIS, Vol. 763, International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part III.
  • Li, Yusheng Xue, Shumei Cui, Qun Niu (editors), Intelligent Computing in Smart Grid and Electric Vehicles, Communications in Computer and Information Science, Springer-Verlag GmbH. CCIS-463, ISBN 978-3-662-45286-8, 2014.
  • Li, Shaoyuan Li, Dewei Li, Qun Niu (editors), Intelligent Computing for Sustainable Energy and Environment, ICSEE 2012, Shanghai, September 12-13, 2012. Revised Selected Papers, Communications in Computer and Information Science, Springer-Verlag GmbH. CCIS-355, 2013.
  • Li, Xin Li, Shiwei Ma, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part I, Communications in Computer and Information Science, Springer-Verlag GmbH. CCIS-98, 2010.
  • Li, Xin Li, Shiwei Ma, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part II, Communications in Computer and Information Science, Springer-Verlag GmbH. CCIS-97, 2010.
  • Li, Minrui Fei, Li Jia, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part I, Lecture Notes in Computer Science, Springer-Verlag GmbH, LNCS 6328, 2010.
  • Li, Minrui Fei, Li Jia, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part II, Lecture Notes in Computer Science, Springer-Verlag GmbH, LNCS 6329, 2010.
  • Li, Minrui Fei, Li Jia, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part III, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, LNBI 6330, 2010.
  • Li, M. Fei, G. Irwin, S. Ma (editors), Bio-inspired computational intelligence and applications. Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4688, 2007.
  • Li, X. Li. G. Irwin, G. He (editors), Life system modelling and simulation. Lecture Notes in Bioinformatics, Springer-Verlag GmbH. LNBI 4689, 2007.
  • S. Huang, K. Li, G. W. Irwin (editors). Advances in Intelligent Computing, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006.
  • S. Huang, K. Li, G. W. Irwin (editors). Computational Intelligence, Lecture Notes in Artificial Intelligence, Springer-Verlag GmbH, LNAI 4114., 2006.
  • S. Huang, K. Li, G. W. Irwin (editors). Computational Intelligence and Bioinformatics, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, LNBI 4115, 2006.
  • S. Huang, K. Li, G. W. Irwin (editors). Intelligent Control and Automation, Lecture Notes in Control and Information Sciences, LNCIS 344, Springer-Verlag GmbH, 2006.
  • S. Huang, K. Li, G. W. Irwin (editors). Intelligent Computing in Signal Processing and Pattern Recognition, Lecture Notes in Control and Information Sciences, LNCIS 345, Springer-Verlag GmbH, 2006.

 

 

Book/Edited Books/Book Chapters

  • Jianhua Zhang, Jinliang Xu, Kang Li. Modelling and Control of Organic Rankine Cycle based Waste Heat Recovery Systems. Elsevier, 2016.
  • Zhile Yang, Kang Li, “Control and Optimization for Integration of Plug-in Vehicles in Smart Grid’, in Communication, Control and Security for the Smart Grid, Eds: S.M. Muyeen, Saifur Rahman, IET, 2017.
  • Maione, A. Punzi, K. Li, “Using swarm intelligence for optimization of parameters in approximations of fractional-order operators” in Swarm Intelligence for Electric and Electronic Engineering, L. Mescia, G. Fornarelli (Eds.), IGI Global, ISBN 978-1-4666-2666-9, pp 194-223, DOI: 10.4018/978-1-4666-2666-9.ch010, 2013.
  • Li, G.-B. Huang, S. Ge, “A Fast Construction Algorithm for Feedforward Neural Networks”, Handbook of Natural Computing, Springer Berlin Heidelberg, pp. 507-531, ISBN: 978-3-540-92909-3 (Print) 978-3-540-92910-9 (online), eds (Rozenberg, Grzegorz; Bäck, Thomas H.W.; Kok, Joost N.), DOI: 10.1007/978-3-540-92910-9_16, Vol. I, 2012.
  • Thompson, and K. Li, “Modelling of NOx emissions in coal-fired plants”, in Thermal Power Plant Simulation and Control, Flynn(ed.), Power and Energy Series 43, IEE Press, pp: 243-268, ISBN: 085296496, 2003.