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Presents a detailed and unified treatment of the theory of reduced order systems
provides a coherent view of the recent theory of reduced order theory and its applications
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 343)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
This monograph presents a detailed and unified treatment of the theory of reduced order systems. Covered topics include reduced order modeling, reduced order estimation, reduced order control, and the design of reduced order compensators for stochastic systems. Special emphasis is placed on optimization using a quadratic performance criterion. Both continuous and discrete time linear dynamical systems are considered, and state space system representation is used throughout the book. It provides a coherent view of the recent theory of reduced order theory and its applications including a wide range of application problems, solutions and unresolved issues.
Keywords
- Reduced Order Filtering
- Reduced Order Systems
- control
- filtering
- modeling
- optimization
- system
- quantitative finance
Bibliographic Information
Book Title: Reduced Order Systems
Authors: Ali A. Jalali, Craig S. Sims†, Parviz Famouri
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/11597018
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-34358-5Published: 03 November 2006
eBook ISBN: 978-3-540-34359-2Published: 31 October 2006
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XIII, 205
Topics: Control, Robotics, Mechatronics, Systems Theory, Control, Quantitative Finance