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Iterative Identification and Control

Advances in Theory and Applications

  • Pedro Albertos
  • Antonio Sala

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Fundamentals and Theory

    1. Front Matter
      Pages 1-1
    2. Michel Gevers
      Pages 3-16
    3. Jesús Picó, Miguel Martínez
      Pages 17-40
    4. Robert R. Bitmead, Antonio Sala
      Pages 41-62
    5. Karl J. Åström
      Pages 63-97
    6. Antonio Sala, Pedro Albertos
      Pages 99-119
    7. Pedro Albertos
      Pages 121-142
    8. Brian D. O. Anderson
      Pages 143-166
    9. Robert R. Bitmead
      Pages 167-184
  3. Applications

    1. Front Matter
      Pages 209-209
    2. Robert R. Bitmead
      Pages 211-223
    3. Paul M. J. Van den Hof, Raymond A. de Callafon
      Pages 225-242
    4. Raymond A. de Callafon, Paul M. J. Van den Hof
      Pages 243-270
    5. Robert R. Bitmead, Antonio Sala
      Pages 271-295
  4. Back Matter
    Pages 297-309

About this book

Introduction

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models is the main goal of this book. The combination of both subjects into a cohesive development allows the consistent treatment of both problems to yield powerful new tools for the improvement of system performance. Central among the themes of this work is the observation that operation of a system in feedback with a controller exposes the areas in which the model fit is constraining the controller performance achieved. The book presents new techniques for the understanding of the iterative improvement of performance through the successive fitting of models using closed-loop data and the design of high-performance controllers using these models. The subject matter includes: New approaches to understanding how to affect the fit of dynamical models to physical processes through the choice of experiments, data pre-filtering and model structure; connections between robust control design methods and their dependency on the quality of model fit; experimental design in which data collected in operation under feedback can reveal areas that limit the performance achieved; iterative approaches to link these model-fitting and control design phases in a cogent manner so as to achieve improved performance overall. The authors of individual chapters are some of the most renowned and authoritative figures in the fields of system identification and control design.

Keywords

Fitting Trend control control design feedback filtering identification iterative learning control modeling motion control optimal control robust control system system identification uncertainty

Editors and affiliations

  • Pedro Albertos
    • 1
  • Antonio Sala
    • 1
  1. 1.Department of Systems Engineering and ControlPolytechnic University of ValenciaC. Vera s/n ValenciaSpain

Bibliographic information

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