DocumentCode :
2510979
Title :
Associative datafields in automotive control
Author :
Schmitt, Manfred ; Ullrich, Thorsten ; Tolle, Henning
Author_Institution :
Dept. of Motor Vehicle Safety Syst., Robert Bosch GmbH, Schwieberdingen, Germany
fYear :
1994
fDate :
24-26 Aug 1994
Firstpage :
1239
Abstract :
This work presents an associative datafield structure that has been developed for automotive control applications by the Institute of Control Engineering, Department of Control Systems Theory and Robotics at the Technical University of Darmstadt and the Robert Bosch GmbH. In contrast to the state-of-the-art lattice-like datafields, the new system permits the modelling of multidimensional nonlinear process and/or controller characteristics with respect to computational performance and storage capacity provided by automotive control units. Furthermore, the associative datafield allows the compensation of wear and tear and manufacturing tolerances by learning, i.e. online adaptation of its contents. The paper describes the principles of the associative datafield and different update algorithms. Results of simulations using realistic data from car engines are discussed
Keywords :
automobiles; intelligent control; interpolation; learning systems; real-time systems; Robert Bosch GmbH; Technical University of Darmstadt; associative datafield structure; automotive control; car engines; datapoint distribution; learning control; local structure adaptation; manufacturing tolerances; multidimensional nonlinear process; scattered data interpolation; update algorithms; wear compensation; Intelligent control; Interpolation; Learning control systems; Real time systems; Road vehicle control; Road vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
Type :
conf
DOI :
10.1109/CCA.1994.381339
Filename :
381339
Link To Document :
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