Identification for Automotive Systems
by Alberer, Daniel Hjalmarsson, Håkan Re, Luigi del
"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 limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a …
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- Full title :Identification for Automotive Systems / edited by Daniel Alberer, Håkan Hjalmarsson, Luigi del Re.
Summary
"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 limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles"--SpringerLink
Read More ↓Edition Statements
- Publication Date:2012.
Publication Statements
- Publisher(s):Springer London
- Place of Publication:London
- Language:eng
- Publication Date:2012.
Notes
Descripció del recurs: 19 de desembre de 2016.
The Physical Object
- Description:1 recurs en línia (1 recurs electrònic (XVI, 356 p.)) : : 172 il., 129 il. color
Edition Identifiers
- ISBN:9781447122210, 1447122216
- oclc:on1120500579
Table of Contents
Conté: 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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