Hybrid System Identification: Theory and Algorithms for Learning Switching Models - Lecture Notes in Control and Information Sciences - Fabien Lauer - Books - Springer Nature Switzerland AG - 9783030001926 - October 5, 2018
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Hybrid System Identification: Theory and Algorithms for Learning Switching Models - Lecture Notes in Control and Information Sciences 2019 edition

Fabien Lauer

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Hybrid System Identification: Theory and Algorithms for Learning Switching Models - Lecture Notes in Control and Information Sciences 2019 edition

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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 5, 2018
ISBN13 9783030001926
Publishers Springer Nature Switzerland AG
Pages 253
Dimensions 242 × 165 × 20 mm   ·   534 g
Language German  

See all of Fabien Lauer ( e.g. Hardcover Book and Paperback Book )