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
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;
Conference_Titel :
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2978-3
DOI :
10.1109/ISIC.1996.556228
