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Non-Identifier-Based High-Gain Adaptive Control

  • Book
  • © 1993

Overview

Authors:
  1. Achim Ilchmann
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Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 189)

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Table of contents (8 chapters)

  1. Front Matter

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  2. Introduction

    Pages 1-7

  3. High-gain stabilizability

    Pages 9-28

  4. Almost strict positive realness

    Pages 29-44

  5. Universal adaptive stabilization

    Pages 45-103

  6. Universal adaptive tracking

    Pages 105-123

  7. Robustness

    Pages 125-158

  8. Performance

    Pages 159-184

  9. Exponential stability of the terminal system

    Pages 185-196

  10. Back Matter

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About this book

Over the last decade the field of adaptive control where no identification mechanisms are invoked has become a major research topic. This book presents a state-of-the-art report on the following more specific area: the system classes under consideration contain linear (possibly nonlinearly perturbed), finite dimensional, continuous time systems which are stabilizable by high-gain output feedback. The properties of minimum phase systems and strictly positive real systems are studied in their own right. These results are applied to design simple adaptive controllers involving a switching strategy which is mainly tuned by a one parameter controller based on output data alone. Control objectives are stabilization, tracking, -tracking and servomechanism action. In addition, robustness with respect to nonlinear perturbations and performance improvements are investigated.

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