Fuzzy controller design for a class of model reference adaptive systems

被引：1
|
作者：
Han, Hugang [1 ]
机构：
[1] Prefectural Univ Hiroshima, Dept Management Informat Syst, Minami Ku, 1-1-71 Ujina-Higashi, Hiroshima 7348558, Japan
来源：
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2006年 / 27卷 / 2-3期
关键词：
fuzzy control; fuzzy approximator; system stability; Lyapunov synthesis;
D O I：
10.1504/IJCAT.2006.011144
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Amid design of fuzzy control systems, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system. Concerning the unknownness of the unknown functions, generally there are two cases: a completely unknown case, and a partly unknown case. Clearly, if an unknown function belongs to the latter, the knowledge available about the function should be utilised as much as possible in the system development. In this paper, our goal is to design a fuzzy controller for a class of model reference adaptive systems with uncertainties, which can correspond to the either case.
引用
收藏
页码：183 / 191
页数：9
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