Identification for Automotive Systems

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Lecture Notes in Control and Information Sciences 417, Lecture Notes in Control and Information Sciences 418

ISBN: 1447122208
ISBN 13: 9781447122203
Herausgeber: Daniel Alberer/Håkan Hjalmarsson/Luigi del Re
Verlag: Springer Verlag GmbH
Umfang: xvi, 356 S., 43 s/w Illustr., 129 farbige Illustr., 356 p. 172 illus., 129 illus. in color.
Erscheinungsdatum: 09.12.2011
Auflage: 1/2011
Produktform: Gebunden/Hardback
Einband: KT

Examines the subject from both the industrial and the academic point of viewContains the results of up-to-the-moment researchOffers insights into exploiting progress in the field of identification

Artikelnummer: 1614618 Kategorie:

Beschreibung

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.

Inhaltsverzeichnis

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.- Close Loop systems Identification with Application to Diesel Engines.- Parameter Identification in Dynamic Systems using the Homotopy Optimization Approach.- Tutorial on Applications-oriented Optimal Experiment Design.- Engine Calibration using Nonlinear Dynamic Modelling.- Representation Limits of Mean Value Engine Models.- Identification Methods for Reliable and High Dynamic Off-road Engines.- Dynamic Mapping of Diesel Engine through System Identification.- Off- and On-Line Identification of Maps Applied to the Gas Path in Diesel Engines.- Identification Techniques for Control Oriented Models of Internal Combustion Engines.- Modelling for HCCI Control.- Comparison of Sensor Configurations for Mass Flow Estimation of Turbocharged Diesel Engines.- Black and Gray Box Engine Models.- Optimal Finite and Receding Horizon Control for Identification in Automotive Systems.

Das könnte Ihnen auch gefallen …