Title :
Learning algorithm for discourse of universe adaptive fuzzy controller
Author :
Cui, Shuni ; Xu, Xiangdong
Author_Institution :
Automatica Dept., Tsinghua Univ., Beijing, China
Abstract :
A new adaptive discourse of universe idea is brought forward in the thesis based on the interpolator mechanism of fuzzy controller in order to enhance the steady precision of control systems. The idea is that the discourse of universe of fuzzy controller reduces with the inputs decrease only when the control system approaches the steady state, the control rules are not changed at the same time. And the idea has been proved to be reasonable by theoretical analysis. Furthermore, an adaptive discourse of universe strategy is put forward. The method is tested to be effective by the control system simulation of steam pressure of boiler.
Keywords :
adaptive control; fuzzy control; interpolation; learning systems; adaptive fuzzy controller; boiler steam pressure control system simulation; interpolator; learning algorithm; Adaptive control; Boilers; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Pressure control; Programmable control; Steady-state; System testing;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022134