000 03994nam a22004815i 4500
001 978-1-84996-071-7
003 DE-He213
005 20140220084515.0
007 cr nn 008mamaa
008 100311s2010 xxk| s |||| 0|eng d
020 _a9781849960717
_9978-1-84996-071-7
024 7 _a10.1007/978-1-84996-071-7
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aRe, Luigi.
_eeditor.
245 1 0 _aAutomotive Model Predictive Control
_h[electronic resource] :
_bModels, Methods and Applications /
_cedited by Luigi Re, Frank Allgöwer, Luigi Glielmo, Carlos Guardiola, Ilya Kolmanovsky.
264 1 _aLondon :
_bSpringer London,
_c2010.
300 _aXIV, 290 p. 152 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v402
505 0 _aChances and Challenges in Automotive Predictive Control -- Chances and Challenges in Automotive Predictive Control -- I: Models -- On Board NOx Prediction in Diesel Engines: A Physical Approach -- Mean Value Engine Models Applied to Control System Design and Validation -- Physical Modeling of Turbocharged Engines and Parameter Identification -- Dynamic Engine Emission Models -- Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics -- II: Methods -- An Overview of Nonlinear Model Predictive Control -- Optimal Control Using Pontryagin’s Maximum Principle and Dynamic Programming -- On the Use of Parameterized NMPC in Real-time Automotive Control -- III: Applications -- An Application of MPC Starting Automotive Spark Ignition Engine in SICE Benchmark Problem -- Model Predictive Control of Partially Premixed Combustion -- Model Predictive Powertrain Control: An Application to Idle Speed Regulation -- On Low Complexity Predictive Approaches to Control of Autonomous Vehicles -- Toward a Systematic Design for Turbocharged Engine Control -- An Integrated LTV-MPC Lateral Vehicle Dynamics Control: Simulation Results -- MIMO Model Predictive Control for Integral Gas Engines -- A Model Predictive Control Approach to Design a Parameterized Adaptive Cruise Control.
520 _aThe proceedings of the Automotive Model Predictive Control: Models, Methods and Applications workshop investigates whether constrained predictive control is reasonable in automotive control and what is necessary for its application. The workshop, held at the University of Linz on 9th – 10th February 2009 brought together workers from academia and industry from three key automotive branches: modeling, control and the application. The workshop included three keynote presentations, each of them contributing to the solution of an essential question. • Which problems in automotive applications need constrained optimal control? • Models of emissions for modern engines for model based control? • Industrial methods and requirements for control schemes?The results of testing control strategies on a dynamical engine test bench give a feeling for the necessary computing power, the model plant mismatch, etc. and thus for the real application of control laws in production cars.
650 0 _aEngineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aAutomotive Engineering.
700 1 _aAllgöwer, Frank.
_eeditor.
700 1 _aGlielmo, Luigi.
_eeditor.
700 1 _aGuardiola, Carlos.
_eeditor.
700 1 _aKolmanovsky, Ilya.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781849960700
830 0 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v402
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-84996-071-7
912 _aZDB-2-ENG
999 _c110957
_d110957