Title :
FCMAC based on extreme element algorithm
Author :
Hu, Jing-song ; Hu, Gui-wu
Author_Institution :
Dept. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
The fuzzy cerebellar model articulation controller has been widely used to control complex objects, but most learning algorithms of CMAC are greedy and local optimization, so the precision is relatively low. A fast global optimization, call extreme element algorithm, is proposed to improve the precision of CMAC. The new method realizes a fine control quality to a nonlinear plant, of which mathematic model is not known.
Keywords :
cerebellar model arithmetic computers; fuzzy control; fuzzy neural nets; greedy algorithms; learning (artificial intelligence); neurocontrollers; nonlinear control systems; optimisation; call extreme element algorithm; fuzzy CMAC; fuzzy cerebellar model articulation controller; greedy algorithm; learning algorithms; nonlinear plant; optimization; Brain modeling; Computer science; Electronic mail; Error correction; Fuzzy control; Inference algorithms; Mathematical model; Mathematics; Robot control; Sampling methods;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382086
