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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2005.
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Σειρά: | Communications and Control Engineering,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.