Automotive Model Predictive Control: Models, Methods and Applications

Chances 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.