DocumentCode
312787
Title
Genetic adaptive failure estimation [automated highway system]
Author
Gremling, James R. ; Passino, Kevin M.
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume
2
fYear
1997
fDate
4-6 Jun 1997
Firstpage
908
Abstract
We develop a genetic algorithm (GA) based method that can perform online adaptive failure estimation for a nonlinear automated highway system (AHS). First, we show how to construct a genetic adaptive parameter estimator where a GA evolves the best set of parameter estimates for a known model structure in real time. Next, we illustrate the operation and performance of the genetic adaptive parameter estimator by using it to track certain parameters for an automobile in an AHS application
Keywords
adaptive estimation; automated highways; fault diagnosis; genetic algorithms; nonlinear systems; parameter estimation; AHS; automobile; genetic adaptive failure estimation; nonlinear automated highway system; Automated highways; Automobiles; Biological cells; Equations; Genetic algorithms; Genetic engineering; Genetic mutations; Parameter estimation; Road vehicles; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1997. Proceedings of the 1997
Conference_Location
Albuquerque, NM
ISSN
0743-1619
Print_ISBN
0-7803-3832-4
Type
conf
DOI
10.1109/ACC.1997.609658
Filename
609658
Link To Document