Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

Ding Wang author Chaoxu Mu author

Format:Paperback

Publisher:Springer Verlag, Singapore

Published:2nd Feb '19

Currently unavailable, and unfortunately no date known when it will be back

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Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems cover

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems. 

“The book presents results on learning-based robust adaptive critic control theory, including self-learning robust stabilization, data-driven robust optimal control, adaptive trajectory tracking, adaptive H1control design. A general analysis for adaptive critic systems in terms of stability, convergence, optimality, and robustness under uncertain environment is covered.” (Alexandra Rodkina, zbMATH 1407.93006, 2019)

ISBN: 9789811345937

Dimensions: unknown

Weight: unknown

307 pages

Softcover reprint of the original 1st ed. 2019