Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

Nonfiction, Science & Nature, Technology, Automation, Mathematics, Applied
Cover of the book Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems by Ding Wang, Chaoxu Mu, Springer Singapore
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Author: Ding Wang, Chaoxu Mu ISBN: 9789811312533
Publisher: Springer Singapore Publication: August 10, 2018
Imprint: Springer Language: English
Author: Ding Wang, Chaoxu Mu
ISBN: 9789811312533
Publisher: Springer Singapore
Publication: August 10, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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