Hybrid System Identification Theory and Algorithms for Learning Switching Models /
| Hoofdauteurs: | , |
|---|---|
| Coauteur: | |
| Samenvatting: | XXI, 253 p. 35 illus., 34 illus. in color. text |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| Editie: | 1st ed. 2019. |
| Reeks: | Lecture Notes in Control and Information Sciences,
478 |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-030-00193-3 |
| Formaat: | Elektronisch Boek |
Inhoudsopgave:
- 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.