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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| Další autoři: | , , , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
London :
Springer London : Imprint: Springer
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2012. |
| Edice: | Lecture Notes in Control and Information Sciences
418 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Identification for automotive systems, Daniel Alberer, Håkan Hjalmarsson, and Luigi del Re (eds.), London, Springer, 2012, 1 vol. (XVI-354 p.), Lecture notes in control and information sciences, 978-1-4471-2220-3 |
Obsah:
- 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