Associative Dataaelds in Automotive Control

Associative Data elds in Automotive Control by Manfred Schmitt1 , Thorsten Ullrich2 and Henning Tolle3 Abstract This work presents an associative data eld 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 data elds, the new system permits the modelling of multi-dimensional non-linear process and/or controller characteristics with respect to computational performance and storage capacity provided by automotive control units. Furthermore, the associative data eld allows the compensation of wear and tear and manufacturing tolerances by learning, i.e. on-line adaptation of its contents. The paper describes the principles of the associative data eld and di erent update algorithms. Results of simulations using realistic data from car engines are discussed. Keywords|associative access, scattered data interpolation, real-time capability, local structure adaptation