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Adaptive Dynamic Programming: Single and Multiple Controllers de Ruizhuo Song

Adaptive Dynamic Programming: Single and Multiple Controllers

Autor Ruizhuo Song, Qinglai Wei, Qing Li
en Limba Engleză Hardback – 12 ian 2019
This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices. 
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Specificații

ISBN-13: 9789811317118
ISBN-10: 9811317119
Pagini: 288
Ilustrații: XV, 271 p. 126 illus., 98 illus. in color. With Jointly published with Science Press, Beijing, China.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.55 kg
Ediția:1st ed. 2019
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

Part I:  Preparation.- Introduction to optimal control and adaptive dynamic programming.- Neural networks implementation.- Part II:  Optimal control for system with single controller.- Finite-time optimal control.- Multi-objective optimal control.- Multiple actor-critic optimal control via ADP.- Optimal control for complex-valued nonlinear systems.- Chaotic systems optimal tracking control.- Part III:  Multi-player systems games.- Optimal control for unknown systems with disturbances.- Zero-sum differential games.- Non-Zero-Sum games.- Synchronization control for multi-agent games.

Notă biografică

Qinglai Wei received his B.S. degree in Automation and Ph.D. degree in Control Theory and Control Engineering from the Northeastern University, Shenyang, China, in 2002 and 2009, respectively. From 2009 to 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 and is currently a professor there. He has authored one book and published over 70 international journal papers. His research interests include adaptive dynamic programming, neural-networks-based control, optimal control, nonlinear systems and their industrial applications. Dr. Wei is an associate editor of IEEE Transactions on Systems Man, and Cybernetics: Systems, Information Sciences, Neurocomputing, Optimal Control Applications and Methods, and Acta Automatica Sinica, and held the same position for IEEE Transactions on Neural Networks and Learning Systems from 2014 to 2015. He has been the secretary of the IEEE Computational Intelligence Society (CIS) Beijing Chapter since 2015. He was registration chair of the 12th World Congress on Intelligent Control and Automation (WCICA 2016), the IEEE World Congress on Computational Intelligence (WCCI 2014), the International Conference on Brain Inspired Cognitive Systems (BICS 2013), and the 8th International Symposium on Neural Networks (ISNN 2011). He was the publication chair of the 5th International Conference on Information Science and Technology (ICIST 2015) and the 9th 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 International Conference on Brain Inspired Cognitive Systems (BICS 2012). He has been the guest editor for several international journals. He was a recipient of the Acta Automatica Sinica Outstanding Paper Award in 2011 and the Chinese Control, DecisionConference (CCDC) Zhang Siying Outstanding Paper Award in 2015, and Young Researcher Award of Asia Pacific Neural Network Society (APNNS) in 2016. Ruizhuo Song received his Ph.D. degree in Control Theory and Control Engineering from Northeastern University, Shenyang, China, in 2012. She is currently an associate professor at the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. Her research interests include optimal control, neural-network-based control, nonlinear control, wireless sensor networks, adaptive dynamic programming and their industrial application.

Textul de pe ultima copertă

This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices. 

Caracteristici

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