0 Mėgstami
0Krepšelis

Subspace Methods for System Identification

Šiuo metu neparduodama

Knygos aprašymas

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.

Informacija

Autorius: Tohru Katayama
Leidėjas: Springer
Išleidimo metai: 2005
Knygos puslapių skaičius: 408
ISBN-13: 9781852339814
Formatas: 6.1 x 0.92 x 9.25 inches. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Subspace Methods for System Identification“

Būtina įvertinti prekę

Goodreads reviews for „Subspace Methods for System Identification“