Ebook: 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 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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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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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.
Content:
Front Matter....Pages -
System Identification for Automotive Systems: Opportunities and Challenges....Pages 1-10
Front Matter....Pages 11-11
A Desired Modeling Environment for Automotive Powertrain Controls....Pages 13-34
An Overview on System-Identification Problems in Vehicle Chassis Control....Pages 35-49
Front Matter....Pages 51-51
Linear Parameter-Varying System Identification: The Subspace Approach....Pages 53-65
A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems....Pages 67-88
Using Genetic Programming in Nonlinear Model Identification....Pages 89-109
Markov Chain Modeling and On-Board Identification for Automotive Vehicles....Pages 111-128
Parameter Identification in Dynamic Systems Using the Homotopy Optimization Approach....Pages 129-145
Front Matter....Pages 147-147
A Tutorial on Applications-Oriented Optimal Experiment Design....Pages 149-164
Engine Calibration Using Nonlinear Dynamic Modeling....Pages 165-182
Front Matter....Pages 183-183
Representation Limits of Mean Value Engine Models....Pages 185-206
Identification Methods for Reliable and High Dynamic Off-Road Engines....Pages 207-221
Dynamic Mapping of Diesel Engine through System Identification....Pages 223-239
Off- and On-Line Identification of Maps Applied to the Gas Path in Diesel Engines....Pages 241-256
Identification Techniques for Control Oriented Models of Internal Combustion Engines....Pages 257-282
Modeling for HCCI Control....Pages 283-302
Comparison of Sensor Configurations for Mass Flow Estimation of Turbocharged Diesel Engines....Pages 303-326
Optimal Finite and Receding Horizon Control for Identification in Automotive Systems....Pages 327-348
Back Matter....Pages -

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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.
Content:
Front Matter....Pages -
System Identification for Automotive Systems: Opportunities and Challenges....Pages 1-10
Front Matter....Pages 11-11
A Desired Modeling Environment for Automotive Powertrain Controls....Pages 13-34
An Overview on System-Identification Problems in Vehicle Chassis Control....Pages 35-49
Front Matter....Pages 51-51
Linear Parameter-Varying System Identification: The Subspace Approach....Pages 53-65
A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems....Pages 67-88
Using Genetic Programming in Nonlinear Model Identification....Pages 89-109
Markov Chain Modeling and On-Board Identification for Automotive Vehicles....Pages 111-128
Parameter Identification in Dynamic Systems Using the Homotopy Optimization Approach....Pages 129-145
Front Matter....Pages 147-147
A Tutorial on Applications-Oriented Optimal Experiment Design....Pages 149-164
Engine Calibration Using Nonlinear Dynamic Modeling....Pages 165-182
Front Matter....Pages 183-183
Representation Limits of Mean Value Engine Models....Pages 185-206
Identification Methods for Reliable and High Dynamic Off-Road Engines....Pages 207-221
Dynamic Mapping of Diesel Engine through System Identification....Pages 223-239
Off- and On-Line Identification of Maps Applied to the Gas Path in Diesel Engines....Pages 241-256
Identification Techniques for Control Oriented Models of Internal Combustion Engines....Pages 257-282
Modeling for HCCI Control....Pages 283-302
Comparison of Sensor Configurations for Mass Flow Estimation of Turbocharged Diesel Engines....Pages 303-326
Optimal Finite and Receding Horizon Control for Identification in Automotive Systems....Pages 327-348
Back Matter....Pages -
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