Skip to main content

Springer

Subspace Methods for System Identification

No reviews yet
Product Code: 9781849969888
ISBN13: 9781849969888
Condition: New
$211.47

Subspace Methods for System Identification

$211.47
 

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.




Author: Tohru Katayama
Publisher: Springer
Publication Date: Oct 19, 2010
Number of Pages: 392 pages
Binding: Paperback or Softback
ISBN-10: 1849969884
ISBN-13: 9781849969888
 

Customer Reviews

This product hasn't received any reviews yet. Be the first to review this product!

Faster Shipping

Delivery in 3-8 days

Easy Returns

14 days returns

Discount upto 30%

Monthly discount on books

Outstanding Customer Service

Support 24 hours a day