Subspace Methods For System Identification

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Subspace Methods for System Identification

Subspace Methods for System Identification
Author :
Publisher : Springer Science & Business Media
Total Pages : 400
Release :
ISBN-10 : 9781846281587
ISBN-13 : 184628158X
Rating : 4/5 (58X Downloads)

Book Synopsis Subspace Methods for System Identification by : Tohru Katayama

Download or read book Subspace Methods for System Identification written by Tohru Katayama and published by Springer Science & Business Media. This book was released on 2005-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic processes; and Kalman filtering. Part II explains realization theory as applied to subspace identification. Stochastic realization results based on spectral factorization and Riccati equations, and on canonical correlation analysis for stationary processes are included. Part III demonstrates the closed-loop application of subspace identification methods. Subspace Methods for System Identification is an excellent reference for researchers and a useful text for tutors and graduate students involved in control and signal processing courses. It can be used for self-study and will be of interest to applied scientists or engineers wishing to use advanced methods in modeling and identification of complex systems.


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