Abstract
In this talk, it is concerned with a local self-learning algorithm for discrete-time nonlinear systems via iterative adaptive dynamic programming (ADP) algorithm. The present local iterative ADP algorithm permits an arbitrary positive semi-definite function to initialize the algorithm, where in each iteration, the iterative value function and iterative control law can be updated in a subset of the state space instead of the whole state space, which effectively relaxes the computational burden. A new analysis method for the convergence property is developed to prove that the iterative value functions will converge to the optimum under some mild constraints.
Biography
Qinglai Wei is currently a Professor of The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. He has authored one book, and published over 90 international journal papers. His research interests include intelligent control, adaptive dynamic programming, data-based control, neural-network-based control, optimal control, nonlinear systems and their industrial applications. Prof. Wei is an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems since 2016, IEEE Transactions on Cognitive and Developmental Systems since 2017, Information Sciences since 2016, Neurocomputing since 2016, Optimal Control Applications and Methods since 2016, Acta Automatica Sinica since 2015, and has been holding the same position for IEEE Transactions on Neural Networks and Learning Systems during 2014--2015. He was Registration Chair of the 12th World Congress on Intelligent Control and Automation (WCICA2016), 2014 IEEE World Congress on Computational Intelligence (WCCI2014), the 2013 International Conference on Brain Inspired Cognitive Systems (BICS 2013), and the Eighth International Symposium on Neural Networks (ISNN 2011). He was the Publication Chair of 5th International Conference on Information Science and Technology (ICIST2015) and the Ninth International Symposium on Neural Networks (ISNN 2012). He was the Finance Chair of the 4th International Conference on Intelligent Control and Information Processing (ICICIP 2013) and the Publicity Chair of the 2012 International Conference on Brain Inspired Cognitive Systems (BICS 2012). He was guest editors for several international journals. He was a recipient of Shuang-Chuang Talents in Jiangsu Province, China, in 2014, Asia Pacific Neural Networks Society (APNNS) young researcher awards in 2016. He was a recipient of the Outstanding Paper Award of Acta Automatica Sinica in 2011 and Zhang Siying Outstanding Paper Award of Chinese Control and Decision Conference (CCDC) in 2015.
