General

Qinglai Wei, PhD, Professor, Associate Director

The State Key Laboratory of Management and Control for Complex Systems, 

Institute of Automation, Chinese Academy of Sciences,


95 Zhongguancun East Road, Beijing, 100190 China

Mob: +86-15001343972
Tel: +86-10-82544517


Email: qinglai.wei@ia.ac.cn, qinglaiwei@foxmail.com

Research Areas

Computational Intelligence, Learning Control, Intelligent Control, Reinforcement Learning, Deep Learning, Smart Grids, Industrial Applications

Education

2003-09--2009-01   Northeastern University, China, PhD

1998-09--2002-06   Northeastern University, China, Scholar Bachelor's Degree


Experience

2018-4~Now,The State Key Laboratory of Management and Control for Complex Systems,Associate Director

2018-1~2018-2,University of Rhode Island,Visiting Scholar

2016.10~NowInstitute of Automation, Chinese Academy of SciencesProfessor

2012-10~2016-07Institute of Automation, Chinese Academy of Sciences, Associate Professor

2014-1~2014-3​,University of Texas at Arlington,Visiting Scholar

2011-07~2012-09Institute of Automation, Chinese Academy of Sciences, Assistant Professor

2009-01~2011-07Institute of Automation, Chinese Academy of Sciences, post-doctoral fellow

Publications

   
Papers

[1]          Qinglai Wei, Hongyang Li, Xiong Yang, and Haibo He, “Continuous-time distributed policy iteration for multi-controller nonlinear systems,” IEEE Transactions on Cybernetics, vol. PP, no. 99, pp. 1–12, in press 2020.

[2]          Qinglai Wei, Zehua Liao, Ruizhuo Song, Pinjia Zhang, Zhuo Wang, and Jun Xiao, “Self-learning optimal control for ice storage air conditioning systems via data-based adaptive dynamic programming,” IEEE Transactions on Industrial Electronics, vol. PP, no. 99, pp. 1–12, in press 2020. DOI: 10.1109/TIE.2020.2978699

[3]          Qinglai, Wei, Lingxiao Wang, Yu Liu, and Marios M. Polycarpou, “Optimal elevator group control via deep asynchronous actor-critic learning,” IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1–12, in press 2020. DOI: 10.1109/TNNLS.2020.2965208

[4]          Qinglai Wei, Zehua Liao, Zhanyu Yang, Benkai Li, and Derong Liu, “Continuous-time time-varying policy iteration,” IEEE Transactions on Cybernetics, in press, 2019. 10.1109/TCYB.2019.2926631

[5]          Qinglai Wei, Ruizhuo Song, Zehua Liao, Benkai Li, and Frank L. Lewis, “Discrete-time impulsive adaptive dynamic programming,” IEEE Transactions on Cybernetics, in press, 2019. 10.1109/TCYB.2019.2906694

[6]          Qinglai Wei, Nikola Kasabov, Marios Polycarpou, Zhigang Zeng, “Deep learning neural networks: Methods, systems, and applications,” Neurocomputing, in press, 2019.

[7]          Qinglai Wei, Derong Liu, and Hanquan Lin, “Value iteration adaptive dynamic programming for optimal control of discrete-time nonlinear systems,” IEEE Transactions on Cybernetics, vol. 46, no. 3, pp. 840–853, Mar. 2016. (SCI)

[8]          Qinglai Wei, Ruizhuo Song, and Pengfei Yan, “Data-driven zero-sum neuro-optimal control for a class of continuous-time unknown nonlinear systems with disturbance using ADP,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 444–458, Feb. 2016. (SCI)

[9]          Qinglai Wei, Derong Liu, and Xiong Yang, “Infinite horizon self-learning optimal control of nonaffine discrete-time nonlinear systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 4, pp. 866–879, Apr. 2015. (SCI)

[10]      Qinglai Wei, Derong Liu, and Guang Shi, “A novel dual iterative Q-learning method for optimal battery management in smart residential environments,” IEEE Transactions on Industrial Electronics, vol. 62, no. 4, pp. 2509–2518, Apr. 2015. (SCI)

[11]      Qinglai Wei, Feiyue Wang, Derong Liu, and Xiong Yang, “Finite-approximation-error based discrete-time iterative adaptive dynamic programming,” IEEE Transactions on Cybernetics, vol. 44, no. 12, pp. 2820–2833, Dec. 2014. (SCI)

[12]      Qinglai Wei, Frank L. Lewis, Guang Shi, and Ruizhuo Song, “Error-tolerant iterative adaptive dynamic programming for optimal renewable home energy scheduling and battery management,” IEEE Transactions on Industrial Electronics, vol. 64, no. 12, pp. 9527–9537, 2017. (SCI)

[13]      Qinglai Wei, Derong Liu, Frank L. Lewis, and Yu Liu, “Mixed iterative adaptive dynamic programming for optimal battery energy control in smart residential microgrids,” IEEE Transactions on Industrial Electronics, vol. 64, no. 5, pp. 4110–4120, May 2017. (SCI)

[14]      Qinglai Wei, Guang Shi, Ruizhuo Song, and Yu Liu, “Adaptive dynamic programming-based optimal control scheme for energy storage systems with solar renewable energy,” IEEE Transactions on Industrial Electronics, vol. 64, no. 7, pp. 5468–5478, Jul. 2017. (SCI)

[15]      Qinglai Wei and Derong Liu, “Data-driven neuro-optimal temperature control of water gas shift reaction using stable iterative adaptive dynamic programming,” IEEE Transactions on Industrial Electronics, vol. 61, no. 11, pp. 6399–6408, Nov. 2014. (SCI)

[16]      Qinglai Wei, Derong Liu, Qiao Lin, and Ruizhuo Song, “Adaptive dynamic programming for discrete-time zero-sum games,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 957–969, Apr. 2018. (SCI)

[17]      Qinglai Wei, Frank L. Lewis, Derong Liu, Ruizhuo Song, and Hanquan Lin, “Discrete-time local value iteration adaptive dynamic programming: Convergence analysis,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 6, pp. 875–891, Jun. 2018. (SCI)

[18]      Qinglai Wei, Frank L. Lewis, Qiuye Sun, Pengfei Yan, and Ruizhuo Song, “Discrete-time deterministic Q-learning: A novel convergence analysis,” IEEE Transactions on Cybernetics, vol. 47, no. 5, pp. 1224–1237, May 2017. (SCI)

[19]      Qinglai Wei, Derong Liu, Guang Shi, and Yu Liu, “Optimal multi-battery coordination control for home energy management systems via distributed iterative adaptive dynamic programming,” IEEE Transactions on Industrial Electronics, vol. 42, no. 7, pp. 4203–4214, Jul. 2015. (SCI)

[20]      Qinglai Wei and Derong Liu, “A novel iterative θ-Adaptive dynamic programming for discrete-time nonlinear systems,” IEEE Transactions on Automation Science and Engineering, vol. 11, no. 4, pp. 11761190, Oct. 2014. (SCI)

[21]      Qinglai Wei and Derong Liu, “Adaptive dynamic programming for optimal tracking control of unknown nonlinear systems with application to coal gasification,” IEEE Transactions on Automation Science and Engineering, vol. 11, no. 4, pp. 1020–1036, Oct. 2014. (SCI)

[22]      Qinglai Wei, Derong Liu, and Qiao Lin, “Discrete-time local iterative adaptive dynamic programming: Terminations and admissibility analysis,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 11, pp. 2490–2502, Nov. 2017. (SCI)

[23]      Qinglai Wei, Derong Liu, Qiao Lin, and Ruizhuo Song, “Discrete-time optimal control via local policy iteration adaptive dynamic programming,” IEEE Transactions on Cybernetics, vol. 47, no. 10, pp. 3367–3379, Oct. 2017. (SCI)

[24]      Qinglai Wei, Benkai Li, and Ruizhuo Song, “Discrete-time stable generalized self-learning optimal control with approximation errors,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 1226–1238, Apr. 2018. (SCI)

[25]      Qinglai Wei, Derong Liu, Yu Liu, and Ruizhuo Song, “Optimal constrained self-learning battery sequential management in microgrids via adaptive dynamic programming,” IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 2, pp. 168176, Apr. 2017. (SCI)

[26]      Qinglai Wei, Derong Liu, and Frank L. Lewis, “Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games,” Information Sciences, vol. 317, pp. 96113, Oct. 2015. (SCI)


Conferences

Program Chair

l  The 14th International Symposium on Neural Networks (ISNN 2017)

Program Co-Chair

l  The 24th International Conference on Neural Information Processing (ICONIP 2017)

Special Sessions Chairs

l  The 25th International Conference on Neural Information Processing (ICONIP 2018)

Invited Section Chair

l  The 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS 2017)

l  The 5th Data Driven Control and Learning System Conference (DDCLS 2015)

Registration Chair

l  The 12th World Congress on Intelligent Control and Automation (WCICA2016)

l  2014 IEEE World Congress on Computational Intelligence (WCCI2014)

l  The 2013 International Conference on Brain Inspired Cognitive Systems (BICS 2013)

l  The Eighth International Symposium on Neural Networks (ISNN 2011)

Publication Chair

l  The 24rd International Conference on Neural Information Processing (ICONIP 2017)

l  5th International Conference on Information Science and Technology (ICIST2015)

Finance Chair

l  4th International Conference on Intelligent Control and Information Processing (ICICIP 2013)

Publicity Chair

The 2012 International Conference on Brain Inspired Cognitive Systems (BICS 2012)

Honors & Distinctions

Clarivate Analytic Global Highly Cited Scholar, 2018

IEEE Transactions on Neural Network and Learning Systems Outstanding Paper Award, 2018

Acta Automatica Sinica Outstanding Associate Editor Award, 2018

IEEE/CAA Journal of Automatica Sinica Outstanding Associate Editor Award, 2018

Yang Jiachi Science and Technology Awards, Chinese Association of Automation (CAA), 2017

Natural Science Award (First Prize), Chinese Association of Automation (CAA), Ranking 2/3, 2017

National Natural Science Foundation for Outstanding Youth Scholars of China, 2017

Young Scientist Award, Chinese Association of Automation (CAA), 2017

Best Paper Award, 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS), 2017

Young Researcher Award, Asia Pacific Neural Network Society (APNNS), 2016

Best Paper Award, The 27th Chinese Control and Decision, Conference (CCDC), 2015

Beijing Science and Technology Award (Third Prize), Ranking 2/5, 2015

Jiangsu Shuang-Chuang Talents, Jiangsu Province, China, 2014

Best Paper Award, Acta Automatica Sinica, 2011