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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
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 10. decembris |
| ISBN13 | 9783030130916 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 253 |
| Izmēri | 150 × 220 × 10 mm · 454 g |
| Valoda | Vācu |
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