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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Alberer, Daniel (Επιμελητής έκδοσης), Hjalmarsson, Håkan (Επιμελητής έκδοσης), Re, Luigi del (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2012.
Σειρά:Lecture Notes in Control and Information Sciences, 418
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Identification for Automotive Systems  |h [electronic resource] /  |c edited by Daniel Alberer, Håkan Hjalmarsson, Luigi del Re. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2012. 
300 |a XVI, 356 p. 172 illus., 129 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 418 
505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a System theory. 
650 0 |a Automotive engineering. 
650 0 |a Control engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Automotive Engineering. 
650 2 4 |a Systems Theory, Control. 
650 2 4 |a Control. 
700 1 |a Alberer, Daniel.  |e editor. 
700 1 |a Hjalmarsson, Håkan.  |e editor. 
700 1 |a Re, Luigi del.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781447122203 
830 0 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 418 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4471-2221-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)