A hybrid approach to predictive modelling and control of automobiles in a noisy and variable environment

Abstract

A hybrid control scheme is proposed that combines the advantages of various artificial intelligence technologies to better model and control transient behavior of a nonlinear system, even as its parameters are modified, via the ability to extract the cause of a change in a system's outputs. Appropriate techniques are developed for all stages of the development process, in an effort to reduce the amount of recalibration necessary by using a similar approach each time.