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
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;
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
DOI :
10.1109/WCICA.2008.4594296