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Adaptive Internal Model Control

  • Aniruddha¬†Datta

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Aniruddha Datta
    Pages 1-8
  3. Aniruddha Datta
    Pages 9-46
  4. Aniruddha Datta
    Pages 47-58
  5. Aniruddha Datta
    Pages 59-79
  6. Aniruddha Datta
    Pages 81-96
  7. Aniruddha Datta
    Pages 97-123
  8. Aniruddha Datta
    Pages 125-140
  9. Aniruddha Datta
    Pages 141-142
  10. Back Matter
    Pages 143-153

About this book

Introduction

Adaptive Internal Model Control is a methodology for the design and analysis of adaptive internal model control schemes with provable guarantees of stability and robustness. Written in a self-contained tutorial fashion, this research monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for analytically justifying some of the reported industrial successes of existing adaptive internal model control schemes, and enables the reader to synthesise adaptive versions of their own favourite robust internal model control scheme by combining it with a robust adaptive law. The net result is that earlier empirical IMC designs can now be systematically robustified or replaced altogether by new designs with assured guarantees of stability and robustness.

Keywords

Internal Model Control adaptive control model optimization stability

Authors and affiliations

  • Aniruddha¬†Datta
    • 1
  1. 1.Department of Electrical EngineeringTexas A & M UniversityCollege StationUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-331-2
  • Copyright Information Springer-Verlag London Limited 1998
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1042-2
  • Online ISBN 978-0-85729-331-2
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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