Possible application of artificial neural networks to vehicle dynamics and control: a literature review
by M. El-Gindy, L. Palkovics
International Journal of Vehicle Design (IJVD), Vol. 14, No. 5/6, 1993

Abstract: It is a well-known fact that difficulties are generally encountered when mathematical modelling is performed on vehicle systems and subsystems that are inherently non-linear. Conventional modelling techniques - simulation, where non-linearities are approximated by simple mathematical formulas or look-up tables; finite element approximation, where the system is replaced by a linear model if the range of variables is small; and numerical techniques - have been very successful in modelling complex, non-linear systems. Under certain conditions, however, the approximations and hypotheses developed for each of these models fail to reflect the true behaviour of the system. The non-linearity of vehicle system and subsystem is particularly severe when the vehicle is pushed toward its performance limits. The result is that conventional modelling techniques become progressively more accurate. Recent developments in the area of artificial neural networks (ANN) may provide 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 ANN's to vehicle system dynamics and control. A literature search of work related to the application of ANN's to vehicle systems is presented and an attempt made control propose possible applications of ANN's to vehicle dynamics and control.

Online publication date: Wed, 28-May-2014

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