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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Alberer, Daniel (Επιμελητής έκδοσης), Hjalmarsson, Håkan (Επιμελητής έκδοσης), Re, Luigi del (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2012.
Σειρά:Lecture Notes in Control and Information Sciences, 418
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.