Overview
- Provides a self-contained and comprehensive treatment on hybrid system identification
- Presents readers with a broad view and introduction to state-of-the-art machine learning methods
- Includes a detailed exposition of all major methods
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 478)
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Table of contents (10 chapters)
Keywords
About this book
The authors illustrate the key technical points using examples and figures to help the reader understand the material. 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. The authors also give an overview of the various applications of hybrid systems, discuss the connections to other fields, and describe more advanced material on recursive, state-space and nonlinear hybrid system identification.
Hybrid System Identification includes a detailed exposition of major methods, which allows researchers and practitioners to acquaint themselves rapidly with state-of-the-art tools. The book is also a sound basis for graduate and undergraduate students studying this area of control, as the presentation and form of the book provides the background and coverage necessary for a full understanding of hybrid system identification, whether the reader is initially familiar with system identification related to hybrid systems or not.
Authors and Affiliations
About the authors
Gérard Bloch has been Associate Professor at the University Henri Poincaré Nancy 1, France, then Full Professor, at the Université de Lorraine, France, from 1991 until 2017, where he took several pedagogical or administrative positions. He coauthored one book and one book chapter, published 35 peer-reviewed journal papers, and 65 conference papers on system identification, machine learning and intelligent control applications.
Bibliographic Information
Book Title: Hybrid System Identification
Book Subtitle: Theory and Algorithms for Learning Switching Models
Authors: Fabien Lauer, Gérard Bloch
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-030-00193-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-00192-6Published: 05 October 2018
Softcover ISBN: 978-3-030-13091-6Published: 10 December 2019
eBook ISBN: 978-3-030-00193-3Published: 04 October 2018
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XXI, 253
Number of Illustrations: 1 b/w illustrations, 34 illustrations in colour
Topics: Control and Systems Theory, Systems Theory, Control, Computer System Implementation