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Robust Modal Control with a Toolbox for Use with MATLAB®

  • Book
  • © 2002

Overview

Authors:
  1. Jean-François Magni

    1. ONERA-Toulouse, CERT/DCSD, Toulouse, France

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  • Emphasizes the efficiancy multi-model control design based on a modal approach
  • Presents new or less common features of modal control
  • Accompanying toolbox contains three groups of functions, two subsets and a MATLAB file; examples for using the toolbox are also included
  • Provides an overview of basic theory for eigenstructure assignment

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Jean-François Magni
    Pages 1-3

  3. Outline

    • Jean-François Magni
    Pages 5-7

  4. Modal Control: A Tutorial

    • Jean-François Magni
    Pages 9-105

  5. Some Control Design Problems

    • Jean-François Magni
    Pages 107-165

  6. Toolbox Reference

    • Jean-François Magni
    Pages 167-243

  7. Appendix 1: Proofs of the Results Stated in the First Chapter

    • Jean-François Magni
    Pages 245-287

  8. Appendix 2: Additional Topics

    • Jean-François Magni
    Pages 289-297

  9. Conclusion

    • Jean-François Magni
    Pages 299-301

  10. Back Matter

    Pages 303-312
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Keywords

About this book

Robust Modal Control covers most classical multivariable modal control design techniques that were shown to be effective in practice, and in addition proposes several new tools. The proposed new tools include: minimum energy eigenvector selection, low order observer-based control design, conversion to observer-based controllers, a new multimodel design technique, and modal analysis. The text is accompanied by a CD-ROM containing MATLAB® software for the implementation of the proposed techniques. The software is in use in aeronautical industry and has proven to be effective and functional.
For more detail, please visit the author's webpage at http://www.cert.fr/dcsd/idco/perso/Magni/booksandtb.html

Authors and Affiliations

  • ONERA-Toulouse, CERT/DCSD, Toulouse, France

    Jean-François Magni

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