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Adaptive critic control with robust ...
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Adaptive critic control with robust stabilization for uncertain nonlinear systems
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Adaptive critic control with robust stabilization for uncertain nonlinear systems/ by Ding Wang, Chaoxu Mu.
作者:
Wang, Ding.
其他作者:
Mu, Chaoxu.
出版者:
Singapore :Springer Singapore : : 2019.,
面頁冊數:
xvii, 307 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Adaptive control systems. -
電子資源:
https://doi.org/10.1007/978-981-13-1253-3
ISBN:
9789811312533
Adaptive critic control with robust stabilization for uncertain nonlinear systems
Wang, Ding.
Adaptive critic control with robust stabilization for uncertain nonlinear systems
[electronic resource] /by Ding Wang, Chaoxu Mu. - Singapore :Springer Singapore :2019. - xvii, 307 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1672198-4182 ;. - Studies in systems, decision and control ;v. 2. .
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.
ISBN: 9789811312533
Standard No.: 10.1007/978-981-13-1253-3doiSubjects--Topical Terms:
528425
Adaptive control systems.
LC Class. No.: TJ217 / .W36 2019
Dewey Class. No.: 629.836
Adaptive critic control with robust stabilization for uncertain nonlinear systems
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