Hybrid System Identification Theory and Algorithms for Learning Switching Models /
| Egile Nagusiak: | , |
|---|---|
| Erakunde egilea: | |
| Gaia: | XXI, 253 p. 35 illus., 34 illus. in color. text |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| Edizioa: | 1st ed. 2019. |
| Saila: | Lecture Notes in Control and Information Sciences,
478 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-030-00193-3 |
| Formatua: | Baliabide elektronikoa Liburua |
Aurkibidea:
- 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.