000 10640cam a2200397 i 4500
005 20221101230228.0
008 100623s2010 enka b 101 0 eng d
011 _aBIB MATCHES WORLDCAT
020 _a1849960704
_qpbk.
020 _a9781849960700
_qpbk.
035 _a(ATU)b1171542x
035 _a(OCoLC)471801791
040 _aUKM
_beng
_erda
_cUKM
_dBTCTA
_dOHX
_dC#P
_dBWX
_dYDXCP
_dATU
042 _aukblsr
050 4 _aTJ212.2
_b.A88 2010
082 0 4 _a629.83
_222
245 0 0 _aAutomotive model predictive control :
_bmodels, methods and applications /
_cedited by Luigi del Re [and others].
264 1 _aBerlin :
_bSpringer,
_c2010.
300 _axiii, 284 pages :
_billustrations (some colour) ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aLecture notes in control and information sciences,
_x0170-8643 ;
_v402
504 _aIncludes bibliographical references and index.
505 0 0 _g1.
_tChances and Challenges in Automotive Predictive Control /
_rLuigi del Re, Peter Ortner, Daniel Alberer --
_g1.1.
_tIntroduction: The Rationale --
_g1.2.
_tAlternatives for Modeling --
_g1.2.1.
_tFirst Principles Models --
_g1.2.2.
_tData-only Models --
_g1.2.3.
_tAdvanced Use of Data --
_g1.3.
_tAlternatives for Optimization --
_g1.3.1.
_tBasic Algorithmic Approaches --
_g1.3.2.
_tCoping with Nonlinearity --
_g1.4.
_tChances: State and Outlook --
_g1.5.
_tConclusions --
_gPart I.
_tModels --
_g2.
_tOn Board NOx Prediction in Diesel Engines: A Physical Approach /
_rJean Arregle, J. Javier Lopez, Carlos Guardiola, B Christelle Monin --
_g2.1.
_tIntroduction --
_g2.2.
_tMain Physical /Chemical Mechanisms of NOx Formation /Destruction --
_g2.2.1.
_tNOx Re-burning --
_g2.2.2.
_tNOx Formation in LTC Conditions --
_g2.3.
_tMechanisms and Model Sensitivity --
_g2.3.1.
_tStructure of Physically-based NOx Models --
_g2.3.2.
_tFlame Temperature Determination --
_g2.4.
_tInput Parameters Accuracy --
_g2.4.1.
_tIntake Air Mass Flow Rate Accuracy --
_g2.4.2.
_tAir + EGR Mixture Temperature and Oxygen Fraction --
_g2.5.
_tConclusions --
_g3.
_tMean Value Engine Models Applied to Control System Design and Validation /
_rPierre Olivier Calendini, Stefan Breuer --
_g3.1.
_tState of the Art Mean Value Engine Model --
_g3.2.
_tSystem Model Structure as a Response to the Requirements --
_g3.2.1.
_tBond Graph Applied to Mean Value Engine Models --
_g3.2.2.
_tNaturally Aspirated and Turbocharged Engine in Bond Graph Structure --
_g3.3.
_tBasic Blocs for Building Mean Value Models --
_g3.3.1.
_tThe Volume Bloc --
_g3.3.2.
_tThe Gas Exchange Bloc --
_g3.3.3.
_tHeat Exchange Models --
_g3.3.4.
_tCombustion Model Possibilities --
_g3.3.5.
_tEnvironment Model --
_g3.4.
_tApplication Example: Choice of an Air Loop Control Strategy --
_g3.4.1.
_tImplementation of the Robustness Simulation --
_g3.4.2.
_tResults of the Robustness Simulations --
_g3.5.
_tConclusions --
_g4.
_tPhysical Modeling of Turbocharged Engines and Parameter Identification /
_rLars Eriksson, Johan Wahlstrom, Markus Klein --
_g4.1.
_tIntroduction --
_g4.2.
_tMVEM Modeling --
_g4.2.1.
_tLibrary Development --
_g4.2.2.
_tBuilding Blocks: Component Models --
_g4.2.3.
_tThe Engine Cylinders: Flow, Temperature, and Torque --
_g4.2.4.
_tImplementation Examples --
_g4.3.
_tModeling of a Diesel Engine with EGR /VGT --
_g4.3.1.
_tExperimental Data --
_g4.3.2.
_tMinimum Number of States --
_g4.3.3.
_tModel Extensions --
_g4.4.
_tGray-Box Models and Identification --
_g4.5.
_tConclusions --
_g5.
_tDynamic Engine Emission Models /
_rMarkus Hirsch, Klaus Oppenauer, Luigi del Re --
_g5.1.
_tIntroduction --
_g5.2.
_tData-based Model Identification --
_g5.3.
_tMean Value Emission Model --
_g5.3.1.
_tInput Selection --
_g5.3.2.
_tModel Structure --
_g5.3.3.
_tParameter Identification --
_g5.3.4.
_tRegressor Selection --
_g5.3.5.
_tRealization and Results --
_g5.4.
_tCrank Angle Based Emission Model --
_g5.4.1.
_tWorkflow --
_g5.4.2.
_t1-zone Process Calculation --
_g5.4.3.
_t2-zone Model --
_g5.4.4.
_tEmission Models --
_g5.4.5.
_tModel Development and Verification --
_g5.5.
_tData for Identification: Input Design --
_g5.6.
_tLimitations --
_g5.7.
_tSummary --
_g6.
_tModeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics /
_rRolf Johansson, Per Tunestal, Anders Widd --
_g6.1.
_tIntroduction --
_g6.2.
_tHCCI Modeling --
_g6.2.1.
_tFuel Modeling --
_g6.2.2.
_tAuto-ignition Modeling --
_g6.2.3.
_tThermal Modeling and Auto-ignition --
_g6.3.
_tExperiments --
_g6.3.1.
_tModel Predictive Control --
_g6.4.
_tConclusions --
_gPart II.
_tMethods --
_g7.
_tAn Overview of Nonlinear Model Predictive Control /
_rLalo Magni, Riccardo Scattolini --
_g7.1.
_tIntroduction --
_g7.2.
_tProblem Formulation and State-feedback NMPC Control Law --
_g7.2.1.
_tFeasibility and Stability in Nominal Conditions --
_g7.2.2.
_tThe Robustness Problem --
_g7.3.
_tOutput Feedback and Tracking --
_g7.3.1.
_tOutput Feedback --
_g7.3.2.
_tTracking --
_g7.4.
_tImplementation Problems and Alternative Approaches --
_g8.
_tOptimal Control Using Pontryagin's Maximum Principle and Dynamic Programming /
_rBart Saerens, Moritz Diehl, Eric Van den Bulck --
_g8.1.
_tIntroduction --
_g8.2.
_tOptimal Control --
_g8.2.1.
_tPontryagin's Maximum Principle --
_g8.2.2.
_tDynamic Programming --
_g8.3.
_tVehicle and Powertrain Model --
_g8.3.1.
_tVehicle and Driveline Model --
_g8.3.2.
_tEngine Model --
_g8.4.
_tMinimum-fuel Acceleration with the Maximum Principle --
_g8.5.
_tMinimum-fuel Acceleration with Dynamic Programming --
_g8.6.
_tDiscussion of the Results --
_g8.6.1.
_tComparison between the Maximum Principle and Dynamic Programming --
_g8.6.2.
_tComparison with Other Research --
_g8.7.
_tConclusions --
_g9.
_tOn the Use of Parameterized NMPC in Real-time Automotive Control (Mazen Alamir, Andre Murilo, Rachid Amari, Paolina Tona, Richard Furhapter, Peter Ortner( --
_g9.1.
_tIntroduction --
_g9.2.
_tThe Parameterized NMPC: Definitions and Notation --
_g9.3.
_tExample 1: Diesel Engine Air Path Control --
_g9.4.
_tExample 2: Automated Manual Transmission Control --
_g9.5.
_tConclusion --
_gPart III.
_tApplications --
505 0 0 _g10.
_tAn Application of MPC Starting Automotive Spark Ignition Engine in SICE Benchmark Problem /
_rAkira Ohata, Masaki Yamakita --
_g10.1.
_tIntroduction --
_g10.2.
_tControl Design Strategy in MBD --
_g10.3.
_tBenchmark Problem --
_g10.4.
_tApplication of MPC --
_g10.5.
_tSummary --
_g11.
_tModel Predictive Control of Partially Premixed Combustion /
_rPer Tunestal, Magnus Lewander --
_g11.1.
_tIntroduction --
_g11.2.
_tExperimental Setup --
_g11.3.
_tPPC Definition --
_g11.4.
_tControl --
_g11.4.1.
_tControl Design --
_g11.5.
_tResults --
_g11.5.1.
_tResponse to EGR Disturbance --
_g11.5.2.
_tResponse to Load Changes --
_g11.5.3.
_tResponse to Speed Changes --
_g11.6.
_tDiscussion --
_g11.7.
_tConclusions --
_g12.
_tModel Predictive Powertrain Control: An Application to Idle Speed Regulation /
_rStefano Di Cairano, Diana Yanakiev, Alberto Bemporad, Ilya Kolmanovsky, Davor Hrovat --
_g12.1.
_tIntroduction --
_g12.2.
_tEngine Model for Idle Speed Control --
_g12.3.
_tControl-oriented Model and Controller Design --
_g12.4.
_tController Synthesis and Refinement --
_g12.4.1.
_tFeedback Law Synthesis and Functional Assessment --
_g12.4.2.
_tPrediction Model Refinement --
_g12.5.
_tExperimental Validation --
_g12.6.
_tConclusions --
_g13.
_tOn Low Complexity Predictive Approaches to Control of Autonomous Vehicles /
_rPaolo Falcone, Francesco Borrelli, Eric H. Tseng, Davor Hrovat --
_g13.1.
_tIntroduction to Autonomous Guidance Systems --
_g13.2.
_tVehicle Modeling --
_g13.3.
_tLow Complexity Predictive Path Following --
_g13.3.1.
_tTwo Levels Autonomous Path Following --
_g13.3.2.
_tSingle Level Autonomous Path Following --
_g13.4.
_tResults --
_g13.5.
_tConclusions --
_g14.
_tToward a Systematic Design for Turbocharged Engine Control /
_rGreg Stewart, Francesco Borrelli, Jaroslav Pekar, David Germann, Daniel Pachner, Dejan Kihas --
_g14.1.
_tIntroduction --
_g14.2.
_tEngine Control Requirements --
_g14.2.1.
_tSteady-state Engine Calibration --
_g14.2.2.
_tControl Functional Development --
_g14.2.3.
_tFunctional Testing --
_g14.2.4.
_tSoftware Development --
_g14.2.5.
_tIntegration --
_g14.2.6.
_tCalibration --
_g14.2.7.
_tCertification --
_g14.2.8.
_tRelease and Post-release Support --
_g14.2.9.
_tIteration Loops --
_g14.3.
_tModeling and Control for Turbocharged Engines --
_g14.3.1.
_tModeling --
_g14.4.
_tModel Predictive Control and Computational Complexity --
_g14.4.1.
_tExplicit Predictive Control --
_g14.4.2.
_tOn the Complexity of Explicit MPC Control Laws --
_g14.5.
_tSummary and Conclusions --
_g15.
_tAn Integrated LTV-MPC Lateral Vehicle Dynamics Control: Simulation Results /
_rGiovanni Palmieri, Osvaldo Barbarisi, Stefano Scala, Luigi Glielmo --
_g15.1.
_tIntroduction --
_g15.2.
_tFull Vehicle Model --
_g15.3.
_tLateral Vehicle Dynamic Control Strategy --
_g15.3.1.
_tReference Signals --
_g15.3.2.
_tEstimation of Tire Variables --
_g15.3.3.
_tSupervisor --
_g15.3.4.
_tModel Predictive Control --
_g15.3.5.
_tAn Alternative 2PI Regulator --
_g15.4.
_tA Reduced Model for Slip Control --
_g15.5.
_tA Slip Control Strategy --
_g15.5.1.
_tFeedback Action --
_g15.6.
_tSimulation Results --
_g15.7.
_tConclusions --
_g16.
_tMIMO Model Predictive Control for Integral Gas Engines /
_rJakob Angeby, Matthias Huschenbett, Daniel Alberer --
_g16.1.
_tIntroduction --
_g16.2.
_tSystem Description --
_g16.3.
_tProblem Statement --
_g16.4.
_tModel Predictive Control --
_g16.5.
_tImplementation --
_g16.5.1.
_tObjective Function --
_g16.5.2.
_tModel Derivation --
_g16.6.
_tModel Extensions --
_g16.7.
_tReal-time MPC --
_g16.8.
_tResults --
_g16.9.
_tConclusions --
_g17.
_tA Model Predictive Control Approach to Design a Parameterized Adaptive Cruise Control /
_rGerrit J.L. Naus, Jeroen Ploeg, M.J.G. Van de Molengraft, W.P.M.H. Heemels, Maarten Steinbuch --
_g17.1.
_tIntroduction --
_g17.2.
_tProblem Formulation --
_g17.2.1.
_tQuantification Measures --
_g17.2.2.
_tParameterization --
_g17.3.
_tModel Predictive Control Problem Setup --
_g17.3.1.
_tModeling --
_g17.3.2.
_tControl Objectives and Constraints --
_g17.3.3.
_tControl Problem / Cost Criterion Formulation --
_g17.4.
_tController Design --
_g17.4.1.
_tParameterization --
_g17.4.2.
_tImplementation Issues --
_g17.4.3.
_tResults --
_g17.5.
_tConclusions and Future Work.
588 _aMachine converted from AACR2 source record.
650 0 _aAutomatic control
_vCongresses
_9743685
650 0 _aControl theory
_vCongresses
_9713939
700 1 _aDel Re, Luigi
_c(Professor)
_9269124
830 0 _aLecture notes in control and information sciences ;
_v402.
_91050966
907 _a.b1171542x
_b22-08-17
_c27-10-15
942 _cB
945 _a629.83 AUT
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