It is a well-known fact that difficulties are generally encountered when mathematical modelling is performed on vehicle systems and sub-systems that are inherently non-linear. The non-linearity of vehicle systems and sub-systems is particularly severe when the vehicleis pushed toward its performance limits. The result is that conventional modelling techniques become progressively more inaccurate. Recent developments in the area of artifical neural networks (ANNs) mayprovide an alternative approach to the modelling of vehicular dynamics, particularly for highly non-linear systems that near their performance limits. The objective of this paper is to direct attention to the possible applications of ANNs to vehicle systems dynamics and control. A literature search of work related to the application of ANNs to vehicle systems is presented and an attempt made to propose possible applications of ANNs to vehicle dynamics and control. (A).
Abstract