Hybrid System Identification Theory and Algorithms for Learning Switching Models /

Hybrid System Identification Theory and Algorithms for Learning Switching Models /

Podrobná bibliografie
Hlavní autoři: Lauer, Fabien (Autor), Bloch, Gérard (Autor)
Korporativní autor: SpringerLink (Online service)
Shrnutí:XXI, 253 p. 35 illus., 34 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2019.
Vydání:1st ed. 2019.
Edice:Lecture Notes in Control and Information Sciences, 478
Témata:
Control engineering.
System theory.
Control theory.
Computer systems.
Control and Systems Theory.
Systems Theory, Control.
Computer System Implementation.
On-line přístup:https://doi.org/10.1007/978-3-030-00193-3
Médium: Elektronický zdroj Kniha
Obsah:
  • 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.

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