Advertisement

Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

  • Ding Wang
  • Chaoxu Mu

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 167)

About this book

Introduction

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.
 

Keywords

Adaptive critic designs Adaptive/approximate dynamic programming Neural networks Optimal control Reinforcement learning Robust control

Authors and affiliations

  • Ding Wang
    • 1
  • Chaoxu Mu
    • 2
  1. 1.The State Key Laboratory of Management and Control for Complex SystemsInstitute of Automation, Chinese Academy of SciencesBeijingChina
  2. 2.School of Electrical and Information EngineeringTianjin UniversityTianjinChina

Bibliographic information

Industry Sectors
Pharma
Materials & Steel
Automotive
Biotechnology
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering