NEURAL-NETWORK AND FUZZY-LOGIC APPLICATIONS TO VEHICLE SYSTEMS - LITERATURE SURVEY

Recent developments in the application of the artificial neural networ ks (NN) and fuzzy logic (FL) have attracted the attention of many rese archers in the area of vehicle dynamics and control. Neural networks a re able to emulate the solution of different classes of nonlinear alge braic equations and differential transfer functions. Fuzzy logic inter face systems can map those functions that have no equivalent mathemati cal model or whose mathematical models are very complicated. A large n umber of studies have been published on the application of neural netw orks and fuzzy logic interface systems to vehicle dynamics and control . In this paper, an extensive literature survey of more than forty pap ers and reports, published during the last five years, has been conduc ted. Reviewed papers cover different subjects including: vehicle motio n control, driver modelling, tyre modelling, braking control, suspensi on control, steering system, transmission control, and engine control. This literature review is part of an ongoing research project related to the application of neural networks and fuzzy logic to vehicle dyna mics and control.