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Introduction

  • Shuzhi S. Ge
  • Chang C. Hang
  • Tong H. Lee
  • Tao Zhang
Chapter
Part of the The Springer International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 13)

Abstract

In recent years, adaptive control of nonlinear systems has received much attention and many significant advances have been made in this field. Due to the complexity of nonlinear systems, at the present stage, research on adaptive nonlinear control is still focused on development of the fundamental methodologies. This book addresses adaptive control design for several classes of nonlinear systems using approximation-based techniques. The main objectives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically.

Keywords

Adaptive Control Neural Control Neural Network Control MIMO Nonlinear System Adaptive Neural Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Shuzhi S. Ge
    • 1
  • Chang C. Hang
    • 1
  • Tong H. Lee
    • 1
  • Tao Zhang
    • 1
  1. 1.Department of Electrical & Computer EngineeringThe National University of SingaporeSingapore

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