Identification for Automotive Systems

Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limi...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Alberer, Daniel (Éditeur intellectuel), Hjalmarsson, Håkan (Éditeur intellectuel), del Re, Luigi (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: London : Springer London : Imprint: Springer, 2012.
Édition:1st ed. 2012.
Collection:Lecture Notes in Control and Information Sciences, 418
Sujets:
Automotive engineering.
System theory.
Control theory.
Control engineering.
Automotive Engineering.
Systems Theory, Control .
Control and Systems Theory.
Accès en ligne:Texto Completo
Table des matières:
  • From the Contents: Challenges and Opportunities for Identification Methods in Automotive Systems
  • A Desired Modelling Environment for Automotive Powetrain Controls
  • An Overview on System Identification Problems in Vehicle Chassis Control
  • Linear Parameter-varying System Identification: The Subspace Approach
  • A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems
  • Using Genetic Programming in Nonlinear Model Identification
  • Markov Chain Modelling and On-board Identification for Automotive Vehicles.

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