Nonlinear H2/H∞ constrained feedback control : a practical design approach using neural networks

Author(s)

    • Abu-Khalaf, Murad
    • Huang, Jie
    • Lewis, Frank L.

Bibliographic Information

Nonlinear H2/H∞ constrained feedback control : a practical design approach using neural networks

Murad Abu-Khalaf, Jie Huang and Frank L. Lewis

(Advances in industrial control)

Springer, c2006

Other Title

Nonlinear H2/H[infinity] constrained feedback control : a practical design approach using neural networks

Available at  / 9 libraries

Search this Book/Journal

Description and Table of Contents

Description

This book provides techniques to produce robust, stable and useable solutions to problems of H-infinity and H2 control in high-performance, non-linear systems for the first time. The book is of importance to control designers working in a variety of industrial systems. Case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs is explained.

Table of Contents

Preliminaries and Introduction.- Policy Iterations and Nonlinear H 2 Constrained State Feedback Control.- Nearly H 2 Optimal Neural Network Control for Constrained-Input Systems.- Policy Iterations and Nonlinear H ? Constrained State Feedback Control.- Nearly H ? Optimal Neural Network Control for Constrained-Input Systems.- Taylor Series Approach to Solving HJI Equation.- An Algorithm to Solve Discrete HJI Equations Arising from Discrete Nonlinear H ? Control Problems.- H ? Static Output Feedback.

by "Nielsen BookData"

Related Books: 1-1 of 1

Details

  • NCID
    BA7809072X
  • ISBN
    • 9781846283499
  • LCCN
    2006925302
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    [London?]
  • Pages/Volumes
    xx, 203 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
Page Top