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Identification for Automoti...

Identification for Automotive Systems

Alberer, Daniel

Springer London 2012

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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monografia Rebiun08908124 https://catalogo.rebiun.org/rebiun/record/Rebiun08908124 cr nn 008mamaa 111203s2012 xxk| s |||| 0|eng d 9781447122210 978-1-4471-2221-0 10.1007/978-1-4471-2221-0 doi UPNA0405622 UPCT u460570 UPVA 996875313503706 UAM 991007780928704211 UPM 991005676557004212 UCAR 991007934421204213 UR0339024 UMO 110211 TRC bicssc TRCS bicssc TEC009090 bisacsh 629.2 23 Alberer, Daniel Identification for Automotive Systems Recurso electrónico-En línea] edited by Daniel Alberer, Håkan Hjalmarsson, Luigi lRe London Springer London 2012 London London Springer London XVI, 356p. 172 illus., 129 illus. in color. digital XVI, 356p. 172 illus., 129 illus. in color. Lecture Notes in Control and Information Sciences 0170-8643 418 Engineering (Springer-11647) 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 Accesible sólo para usuarios de la UPV Recurso a texto completo 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 Reproducción electrónica Forma de acceso: Web Engineering Systems theory Engineering Automotive Engineering Systems Theory, Control Control Hjalmarsson, Håkan lRe, Luigi SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9781447122203 Lecture Notes in Control and Information Sciences 0170-8643 418

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monografia Rebiun08908124 https://catalogo.rebiun.org/rebiun/record/Rebiun08908124 cr nn 008mamaa 111203s2012 xxk| s |||| 0|eng d 9781447122210 978-1-4471-2221-0 10.1007/978-1-4471-2221-0 doi UPNA0405622 UPCT u460570 UPVA 996875313503706 UAM 991007780928704211 UPM 991005676557004212 UCAR 991007934421204213 UR0339024 UMO 110211 TRC bicssc TRCS bicssc TEC009090 bisacsh 629.2 23 Alberer, Daniel Identification for Automotive Systems Recurso electrónico-En línea] edited by Daniel Alberer, Håkan Hjalmarsson, Luigi lRe London Springer London 2012 London London Springer London XVI, 356p. 172 illus., 129 illus. in color. digital XVI, 356p. 172 illus., 129 illus. in color. Lecture Notes in Control and Information Sciences 0170-8643 418 Engineering (Springer-11647) 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 Accesible sólo para usuarios de la UPV Recurso a texto completo 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 Reproducción electrónica Forma de acceso: Web Engineering Systems theory Engineering Automotive Engineering Systems Theory, Control Control Hjalmarsson, Håkan lRe, Luigi SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9781447122203 Lecture Notes in Control and Information Sciences 0170-8643 418