DocumentCode
3319815
Title
A hybrid approach to predictive modelling and control of automobiles in a noisy and variable environment
Author
Tascillo, Anya
Author_Institution
Engine & Processes Dept., Ford Res. Lab., Dearborn, MI, USA
fYear
1996
fDate
4-5 Nov 1996
Firstpage
186
Lastpage
193
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Systems, 1996., IEEE International Joint Symposia on
Conference_Location
Rockville, MD
Print_ISBN
0-8186-7728-7
Type
conf
DOI
10.1109/IJSIS.1996.565068
Filename
565068
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