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© 1995

Optimal Sampled-Data Control Systems

Book

Part of the Communications and Control Engineering Series book series (CCE)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction

    1. Tongwen Chen, Bruce Allen Francis
      Pages 1-15
  3. Indirect Design Methods

    1. Front Matter
      Pages 17-17
    2. Tongwen Chen, Bruce Allen Francis
      Pages 19-32
    3. Tongwen Chen, Bruce Allen Francis
      Pages 33-64
    4. Tongwen Chen, Bruce Allen Francis
      Pages 65-94
    5. Tongwen Chen, Bruce Allen Francis
      Pages 95-120
    6. Tongwen Chen, Bruce Allen Francis
      Pages 121-169
    7. Tongwen Chen, Bruce Allen Francis
      Pages 171-181
    8. Tongwen Chen, Bruce Allen Francis
      Pages 183-206
  4. Direct SD Design

    1. Front Matter
      Pages 207-207
    2. Tongwen Chen, Bruce Allen Francis
      Pages 209-220
    3. Tongwen Chen, Bruce Allen Francis
      Pages 221-245
    4. Tongwen Chen, Bruce Allen Francis
      Pages 247-279
    5. Tongwen Chen, Bruce Allen Francis
      Pages 281-308
    6. Tongwen Chen, Bruce Allen Francis
      Pages 309-347
  5. Back Matter
    Pages 349-374

About this book

Introduction

Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H-infinity optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB.

Keywords

Matlab Tracking control control system design feedback optimal control optimization stability

Authors and affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of CalgaryCalgaryCanada
  2. 2.Department of Electrical and Computer EngineeringUniversity of TorontoTorontoCanada

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