DocumentCode
2500882
Title
The application of change structure fuzzy neural network based on clonal algorithm at AGC system
Author
Wang, Yan ; Sun, Lei
Author_Institution
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan
fYear
2008
fDate
25-27 June 2008
Firstpage
8681
Lastpage
8686
Abstract
Aiming at the insufficiency of genetic algorithm optimize function parameter, the paper designs the controller based on the clonal algorithm to control the AGC system, the clonal algorithm combines the Gauss variation and the Cauchy variation. The emulation result displays that the means be true of the AGC system and be able to procure better controllability.
Keywords
control system synthesis; fuzzy neural nets; genetic algorithms; neurocontrollers; Cauchy variation; Gauss variation; clonal algorithm; controllability; controller design; function parameter; genetic algorithm; structure fuzzy neural network; Algorithm design and analysis; Control systems; Controllability; Design optimization; Displays; Emulation; Fuzzy control; Fuzzy neural networks; Gaussian processes; Genetic algorithms; AGC system; Cauchy variation; clonal algorithm; gauss variation; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594296
Filename
4594296
Link To Document