Hybrid System Identification Theory and Algorithms for Learning Switching Models /

• Main Authors: Lauer, Fabien (Author, http://id.loc.gov/vocabulary/relators/aut), Bloch, Gérard (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Lecture Notes in Control and Information Sciences, 478
• Subjects: Control engineering.; System theory.; Architecture, Computer.; Control and Systems Theory.; Systems Theory, Control.; Computer System Implementation.

Hybrid System Identification helps readers to build mathematical models of dynamical systems switching between different operating modes, from their experimental observations. It provides an overview of the interaction between system identification, machine learning and pattern recognition fields in...

Table of Contents:

• 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.