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Hybrid System Identification: Theory and Algorithms for Learning Switching Models - Lecture Notes in Control and Information Sciences Fabien Lauer Softcover Reprint of the Original 1st 2019 edition
Hybrid System Identification: Theory and Algorithms for Learning Switching Models - Lecture Notes in Control and Information Sciences
Fabien Lauer
The book includes an in-depth discussion and computational analysis of hybrid system identification problems, moving from the basic questions of the definition of hybrid systems and system identification to methods of hybrid system identification and the estimation of switched linear/affine and piecewise affine models.
253 pages, 34 Illustrations, color; 1 Illustrations, black and white; XXI, 253 p. 35 illus., 34 illu
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 10 décembre 2019 |
| ISBN13 | 9783030130916 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 253 |
| Dimensions | 150 × 220 × 10 mm · 454 g |
| Langue et grammaire | Allemand |
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