Title :
A hybrid approach to predictive modelling and control of automobiles in a noisy and variable environment
Author_Institution :
Engine & Processes Dept., Ford Res. Lab., Dearborn, MI, USA
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
Keywords :
automobiles; intelligent control; nonlinear control systems; predictive control; artificial intelligence; automobiles; hybrid control scheme; nonlinear system; predictive control; predictive modelling; recalibration; Automatic control; Automotive engineering; Calibration; Engines; Mechanical power transmission; Nonlinear control systems; Nonlinear systems; Predictive models; Vehicles; Working environment noise;
Conference_Titel :
Intelligence and Systems, 1996., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-7728-7
DOI :
10.1109/IJSIS.1996.565068
