Title
Chances and challenges in automotive predictive control
Date Issued
05 April 2010
Access level
metadata only access
Resource Type
journal article
Author(s)
Ortner P.
Alberer D.
Universidad Johannes Kepler de Linz
Publisher(s)
Springer Nature
Abstract
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. © 2010 Springer-Verlag London.
Start page
1
End page
22
Volume
402
Language
English
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Scopus EID
2-s2.0-77950222105
Source
Lecture Notes in Control and Information Sciences
ISSN of the container
01708643
Conference
Lecture Notes in Control and Information Sciences
Sources of information: Directorio de Producción Científica Scopus