Hybrid System Identification Theory and Algorithms for Learning Switching Models /

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Lauer, Fabien (Yazar), Bloch, Gérard (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Lecture Notes in Control and Information Sciences, 478
Konular:
Control engineering.
System theory.
Control theory.
Computer systems.
Control and Systems Theory.
Systems Theory, Control.
Computer System Implementation.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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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