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Identification for Automotive Systems: Lecture Notes in Control and Information Sciences, cartea 418

Editat de Daniel Alberer, Håkan Hjalmarsson, Luigi del Re
en Limba Engleză Paperback – 9 dec 2011
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.
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Specificații

ISBN-13: 9781447122203
ISBN-10: 1447122208
Pagini: 372
Ilustrații: XVI, 356 p. 172 illus., 129 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.56 kg
Ediția:2012
Editura: SPRINGER LONDON
Colecția Springer
Seria Lecture Notes in Control and Information Sciences

Locul publicării:London, United Kingdom

Public țintă

Graduate

Cuprins

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.

Caracteristici

Examines the subject from both the industrial and the academic point of view Contains the results of up-to-the-moment research Offers insights into exploiting progress in the field of identification