Join BookitisSave favorites, build lists, and follow creators.

Model reduction for control system design

Work detail

Bookitis Pick
Cover for Model reduction for control system design
MR
Image source: Open Library
Brian D. O. AndersonGoro Obinata2 editions

"Modern methods of filter design and controller design often yield systems of very high order, posing a problem for their implementation. Over the past two decades or so, sophisticated methods have been developed to achieve simplification of filters and controllers. Such methods often come with easy-to-use error bounds, and in the case of controller simplification methods, such error bounds will usually be related to closed-loop properties.". "This book is the first comprehensive treatment of approximation methods for filters and controllers. It is fully up-to-date, and it is authored by two leading researchers who have personally contributed to the development of some of the methods. Balanced truncation, Hankel norm reduction, multiplicative reduction, weighted methods and co-prime factorization methods are all discussed.". "The book is amply illustrated with examples, and will equip practising control engineers and graduates for intelligent use of commercial software modules for model and controller reduction."--BOOK JACKET.

Overview

Shared work-level identity and catalog context.

2 credited authorsSearch language english

Bookitis keeps work pages focused on the shared book identity and the editions that actually belong to it. Unrelated books should not appear here as primary content.

Contributors

People credited with this work in the active catalog.

  • Brian D. O. Anderson

    Author profile in the active Bookitis catalog

    Open Author
  • Goro Obinata

    Author profile in the active Bookitis catalog

    Open Author

Editions

Publication-specific versions linked to this work only.