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...
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| フォーマット: | 電子媒体 eBook |
| 言語: | English |
| 出版事項: |
London :
Springer London : Imprint: Springer,
2005.
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| 版: | 1st ed. 2005. |
| シリーズ: | Communications and Control Engineering,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/1-84628-158-X |
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目次:
- 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.