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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London : Imprint: Springer,
2012.
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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.