Author	Magni, Jean-Franรงois. author
Title	Robust Modal Control with a Toolbox for Use with MATLABยฎ [electronic resource] / by Jean-Franรงois Magni
Imprint	Boston, MA : Springer US : Imprint: Springer, 2002
Connect to	http://dx.doi.org/10.1007/978-1-4615-0637-9
Descript	XIII, 312 p. online resource

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 MATLABยฎ 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

Outline -- 1. Modal Control: A Tutorial -- 1.1 Generalities and guide-lines for choosing eigenstructure to be assigned -- 1.2 Eigenstructure assignment I: Traditional approaches -- 1.3 Eigenstructure assignment II: Multi-model approaches -- 1.4 Eigenstructure assignment III: Feedback gain tuning -- 1.5 Modal analysis of a control law -- 2. Some Control Design Problems -- 2.1 Recommendations and proposed design cycle -- 2.2 Single-model pole placement -- 2.3 Decoupling -- 2.4 Multi-model eigenstructure assignment -- 2.5 Flexible systems control -- 2.6 Structured gain computation -- 3. Toolbox Reference -- 3.1 List of available functions -- 3.2 Help messages -- 4. Appendix 1: Proofs of the Results Stated in the First Chapter -- 4.1 Results relative to eigenvector assignment -- 4.2 First order perturbations -- 4.3 Minimum energy assignment -- 4.4 Pole assignment by output feedback -- 4.5 Non-interactive control design -- 4.6 Dynamic feedforward design -- 4.7 Observers -- 5. Appendix 2: Additional Topics -- 5.1 Models used for demonstrations -- 5.2 Matrices CSTR and CRIT -- 5.3 Installation and system requirements -- Conclusion -- References -- About the Author