Polynomial Methods for Control Systems Design

. Ed(s): Grimble, Michael J.; Kucera, Vladimir

ISBN 10: 3540760776 / ISBN 13: 9783540760771

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1996

About this Item

The subject of this volume is the design of optimal and robust control systems using system models which are represented by polynomial matrices, the polynomial approach being close to the frequency domain design method that engineers use in practice. Editor(s): Grimble, Michael J.; Kucera, Vladimir. Num Pages: 255 pages, biography. BIC Classification: TBJ; TGPQ; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 383. . 1996. Softcover reprint of the original 1st ed. 1996. Paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9783540760771

Bibliographic Details

• Title: Polynomial Methods for Control Systems Design
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Publication Date: 1996
• Language: English
• ISBN 10: 3540760776
• ISBN 13: 9783540760771
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This monograph was motivated by a very successful workshop held before the 3rd IEEE Conference on Decision and Control held at the Buena Vista Hotel, lake Buena Vista, Florida, USA. The workshop was held to provide an overview of polynomial system methods in LQG (or H ) and Hoo optimal control and 2 estimation. The speakers at the workshop were chosen to reflect the important contributions polynomial techniques have made to systems theory and also to show the potential benefits which should arise in real applications. An introduction to H2 control theory for continuous-time systems is included in chapter 1. Three different approaches are considered covering state-space model descriptions, Wiener-Hopf transfer function methods and finally polyno­ mial equation based transfer function solutions. The differences and similarities between the techniques are explored and the different assumptions employed in the solutions are discussed. The standard control system description is intro­ duced in this chapter and the use of Hardy spaces for optimization. Both control and estimation problems are considered in the context of the standard system description. The tutorial chapter concludes with a number of fully worked ex­ amples.