Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

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 fra...

Full description

Bibliographic Details
Main Authors: Wang, Ding (Author), Mu, Chaoxu (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Systems, Decision and Control, 167
Subjects:
Control engineering.
Mathematical optimization.
Robotics.
Automation.
Control and Systems Theory.
Optimization.
Control, Robotics, Automation.
Online Access:Full-text access
Description
Summary: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. .
Physical Description:XVII, 307 p. 131 illus., 129 illus. in color. online resource.
ISBN:9789811312533
ISSN:2198-4190 ;
DOI:10.1007/978-981-13-1253-3

Similar Items