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Adaptive Internal Model Control

  • Book
  • © 1998

Overview

Authors:
  1. Aniruddha Datta

    1. Department of Electrical Engineering, Texas A & M University, College Station, USA

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  • Provides a guarantee of stability and robustness in the design methodology - no such guarantees currently exist * Written in a clear, self-contained tutorial fashion * Appeal for both graduates and practising engineers

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

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XIX
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  2. Introduction

    • Aniruddha Datta
    Pages 1-8

  3. Mathematical Preliminaries

    • Aniruddha Datta
    Pages 9-46

  4. Internal Model Control Schemes

    • Aniruddha Datta
    Pages 47-58

  5. On-Line Parameter Estimation

    • Aniruddha Datta
    Pages 59-79

  6. Adaptive Internal Model Control Schemes

    • Aniruddha Datta
    Pages 81-96

  7. Robust Parameter Estimation

    • Aniruddha Datta
    Pages 97-123

  8. Robust Adaptive IMC Schemes

    • Aniruddha Datta
    Pages 125-140

  9. Conclusion

    • Aniruddha Datta
    Pages 141-142

  10. Back Matter

    Pages 143-153
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Electrical Engineering, Texas A & M University, College Station, USA

    Aniruddha Datta

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