DocumentCode
2487498
Title
An identification method of time-varying delay based on genetic algorithm
Author
Pan, Feng ; Han, Ru-Cheng ; Feng, Dong-mei
Author_Institution
Dept. of Electr. Inf., Taiyuan Heavy Machinery Inst., China
Volume
2
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
781
Abstract
In this paper, a new approach to on-line identification for time-varying delay systems is presented. GA (genetic algorithm) is used to track the time-varying delay, which can simultaneously evaluate many points in the parameter space, and increase the likelihood of finding the global optimum solution, then delay can be identified more exactly, which can suppress the effect of time-varying delay. Simulation results show that the identification precision is satisfied.
Keywords
delay systems; genetic algorithms; parameter estimation; time-varying systems; delay systems; genetic algorithm; global optimum solution; identification precision; online identification; time-varying delay identification; Binary codes; Control systems; Delay effects; Delay estimation; Delay systems; Frequency domain analysis; Genetic algorithms; Genetic mutations; Least squares approximation; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259582
Filename
1259582
Link To Document