Subspace Methods for System Identification is popular PDF and ePub book, written by Tohru Katayama in 2005-10-11, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Subspace Methods for System Identification can be Read Online from any device for your convenience.
Subspace Methods for System Identification Book PDF Summary
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.
Detail Book of Subspace Methods for System Identification PDF
- Author : Tohru Katayama
- Release : 11 October 2005
- Publisher : Springer Science & Business Media
- ISBN : 9781846281587
- Genre : Technology & Engineering
- Total Page : 400 pages
- Language : English
- PDF File Size : 9,5 Mb
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