Overview
- 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
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 166)
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Table of contents (13 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
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 incontrol 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, from February 2006 to February 2007. His research interests include intelligent control and intelligent optimization.
Bibliographic Information
Book Title: Adaptive Dynamic Programming: Single and Multiple Controllers
Authors: Ruizhuo Song, Qinglai Wei, Qing Li
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-981-13-1712-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Science Press, Beijing and Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-1711-8Published: 12 January 2019
eBook ISBN: 978-981-13-1712-5Published: 28 December 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XV, 271
Number of Illustrations: 28 b/w illustrations, 98 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Vibration, Dynamical Systems, Control