Authors:
- Provides a comprehensive and critical review of the latest advances in adaptive critic based robust control design for nonlinear systems
- Discusses data-based robust stabilization, trajectory tracking, and event-driven disturbance attenuation
- Includes theoretical analysis, algorithm design, simulation verification, and experimental results
- Focuses on robust adaptive critic control methods, and the construction of higher-level intelligent systems
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 167)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Ding Wang
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School of Electrical and Information Engineering, Tianjin University, Tianjin, China
Chaoxu Mu
About the authors
Dr. Ding Wang is an associate professor in The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His main research interests cover adaptive and learning control systems, complex systems and intelligent control, neural networks and neural computing.
Dr. Chaoxu Mu is an associate professor in school of electrical and information engineering, Tianjin University. Her research interests focus mainly on non-linear control theory and applications, adaptive dynamic programming and robust control.
Bibliographic Information
Book Title: Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems
Authors: Ding Wang, Chaoxu Mu
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-981-13-1253-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-1252-6Published: 23 August 2018
Softcover ISBN: 978-981-13-4593-7Published: 02 February 2019
eBook ISBN: 978-981-13-1253-3Published: 10 August 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVII, 307
Number of Illustrations: 2 b/w illustrations, 129 illustrations in colour
Topics: Control and Systems Theory, Optimization, Robotics and Automation