Subspace Methods for System Identification
System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented wit...
Call Number: | Libro Electrónico |
---|---|
Main Author: | Katayama, Tohru (Author) |
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
London :
Springer London : Imprint: Springer,
2005.
|
Edition: | 1st ed. 2005. |
Series: | Communications and Control Engineering,
|
Subjects: | |
Online Access: | Texto Completo |
Similar Items
-
Nonlinear Stochastic Systems with Incomplete Information Filtering and Control /
by: Shen, Bo, et al.
Published: (2013) -
Adaptive Nonlinear System Identification The Volterra and Wiener Model Approaches /
by: Ogunfunmi, Tokunbo
Published: (2007) -
System Identification An Introduction /
by: Keesman, Karel J.
Published: (2011) -
Digital Self-tuning Controllers Algorithms, Implementation and Applications /
by: Bobál, Vladimír, et al.
Published: (2005) -
Modeling and Simulation Tools for Emerging Telecommunication Networks Needs, Trends, Challenges and Solutions /
Published: (2006)