Adaptive Dynamic Programming: Single and Multiple Controllers, 1st ed. 2019 Studies in Systems, Decision and Control Series, Vol. 166
Qinglai Wei received the B.S. degree in Automation, and the Ph.D. degree in control theory and control engineering, from the Northeastern University, Shenyang, China, in 2002 and 2009, respectively. From 2009--2011, he was a postdoctoral fellow with The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. He is currently a professor of the institute. He has authored two books, and published over 60 international journal papers. His research interests include adaptive dynamic programming, neural-networks-based control, optimal control, nonlinear systems and their industrial applications.
Dr. Qing Li received his B.E. degree from North China University of Science and Technology, Tangshan, China, in 1993, and the Ph. D degree in control theory and its applications from University of Science and Technology Beijing, Beijing, China, in 2000. He is currently a Professor with the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. He has been a visiting scholar at Ryerson University, Toronto, Canada,
Provides a series of novel adaptive dynamic programming methodologies to obtain optimal control policies for systems with one control input or multiple inputs
Presents a detailed theoretical analysis of the adaptive dynamic programming methods, which verifies the effectiveness of the developed methods
Demonstrates substantial application examples to support theoretical results
Date de parution : 01-2019
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