DocumentCode
1902309
Title
Parameter estimation of nonlinear systems in noisy environments using genetic algorithms
Author
Sheta, Alaa F. ; Jong, Kenneth De
Author_Institution
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
fYear
1996
fDate
15-18 Sep 1996
Firstpage
360
Lastpage
365
Abstract
Traditional approaches for parameter estimation have difficulty with both nonlinear systems and with systems in noisy environments. In this paper we explore the use of genetic algorithms as the key search procedure of a methodology for estimating the parameters of discrete time nonlinear systems in noisy environments. Examples are presented to illustrate the effectiveness of the proposed approach
Keywords
discrete time systems; genetic algorithms; nonlinear systems; parameter estimation; search problems; discrete time systems; genetic algorithms; noisy environments; nonlinear systems; parameter estimation; search procedure; Artificial neural networks; Computer science; Control systems; Design optimization; Frequency; Genetic algorithms; Nonlinear control systems; Nonlinear systems; Parameter estimation; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location
Dearborn, MI
ISSN
2158-9860
Print_ISBN
0-7803-2978-3
Type
conf
DOI
10.1109/ISIC.1996.556228
Filename
556228
Link To Document