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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Springer London : Imprint: Springer,
2005.
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Edición: | 1st ed. 2005. |
Colección: | Communications and Control Engineering,
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Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Preliminaries
- Linear Algebra and Preliminaries
- Discrete-Time Linear Systems
- Stochastic Processes
- Kalman Filter
- Realization Theory
- Realization of Deterministic Systems
- Stochastic Realization Theory (1)
- Stochastic Realization Theory (2)
- Subspace Identification
- Subspace Identification (1) - ORT
- Subspace Identification (2) - CCA
- Identification of Closed-loop System.