Fuzzy model reference control with adaptation mechanism

被引：19
作者：
Cerman, Otto [1 ]
机构：
[1] Czech Tech Univ, Fac Elect Engn, Dept Control Engn, Prague 16627 6, Czech Republic
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 13期
关键词：
Self-learning controllers; Intelligent control; Fuzzy model reference learning control; LEARNING CONTROL; DESIGN;
D O I：
10.1016/j.eswa.2013.03.014
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An improved approach to adaptation in fuzzy model reference learning control (FMRLC) will be introduced in this paper. The main idea of the presented method consists in including into adaptation process the input membership functions in the fuzzy controller. In comparison with original FMRLC algorithm the proposed method can be started with smaller number of input membership functions and reduces amount of penalization after few steps that results in convergent rule base and better and more reliable behavior of the closed loop that is shown on an simulation example of control of a nonlinear time-varying system. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：5181 / 5187
页数：7
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