TY - GEN
T1 - Chances and Challenges in Automotive Predictive Control
AU - del Re, Luigi
AU - Ortner, Peter
AU - Alberer, Daniel
PY - 2010
Y1 - 2010
N2 - Recent years have witnessed an increased interest in model predictive control (MPC) for fast applications. At the same time, requirements on engines and vehicles in terms of emissions, consumption and safety have experienced a similar increase. MPC seems a suitable method to exploit the potentials of modern concepts and to fulfill the automotive requirements since most of them can be stated in the form of a constrained multi input multi output optimal control problem and MPC provides an approximate solution of this class of problems. In this introductory chapter, we analyze the rationale, the chances and the challenges of this approach. This chapter does not intend to review all the literature, but to give a flavor of the challenges and chances offered by this approach.
AB - Recent years have witnessed an increased interest in model predictive control (MPC) for fast applications. At the same time, requirements on engines and vehicles in terms of emissions, consumption and safety have experienced a similar increase. MPC seems a suitable method to exploit the potentials of modern concepts and to fulfill the automotive requirements since most of them can be stated in the form of a constrained multi input multi output optimal control problem and MPC provides an approximate solution of this class of problems. In this introductory chapter, we analyze the rationale, the chances and the challenges of this approach. This chapter does not intend to review all the literature, but to give a flavor of the challenges and chances offered by this approach.
UR - https://www.scopus.com/pages/publications/77950222105
U2 - 10.1007/978-1-84996-071-7_1
DO - 10.1007/978-1-84996-071-7_1
M3 - Conference proceedings
VL - 402
T3 - Lecture Notes in Control and Information Sciences
SP - 1
EP - 22
BT - Automotive Model Predictive Control: Models, Methods and Applications
PB - Springer
ER -