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Part of the book series: Communications and Control Engineering (CCE)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
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 coprime 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.
Authors and Affiliations
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Dept. Mechanical Engineering, Faculty of Engineering and Resource Science, Akita University, 1-1 Tegatagakuen University, Akita City, Japan
Goro Obinata
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Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia
Brian D. O. Anderson
Bibliographic Information
Book Title: Model Reduction for Control System Design
Authors: Goro Obinata, Brian D. O. Anderson
Series Title: Communications and Control Engineering
DOI: https://doi.org/10.1007/978-1-4471-0283-0
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2001
Hardcover ISBN: 978-1-85233-371-3Published: 27 October 2000
Softcover ISBN: 978-1-4471-1078-1Published: 14 September 2012
eBook ISBN: 978-1-4471-0283-0Published: 06 December 2012
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 1
Number of Pages: XV, 168
Topics: Control and Systems Theory, Systems Theory, Control, Engineering Design