Hybrid System Identification Theory and Algorithms for Learning Switching Models /
| 主要な著者: | , |
|---|---|
| 団体著者: | |
| 要約: | XXI, 253 p. 35 illus., 34 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| 版: | 1st ed. 2019. |
| シリーズ: | Lecture Notes in Control and Information Sciences,
478 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-030-00193-3 |
| フォーマット: | 電子媒体 図書 |
目次:
- Introduction
- System Identification
- Classification
- Hybrid System Identification
- Exact Methods for Hybrid System Identification
- Estimation of Switched Linear/Affine Models
- Estimation of Piecewise Affine Models
- Recursive and State-space Identification of Hybrid Systems
- Nonlinear Hybrid System Identification.