Adaptive control of multivariable fuzzy systems with unknown parameters

被引：0
|
作者：
Leung, FHF [1 ]
Lam, HK [1 ]
Tam, PKS [1 ]
机构：
[1] Hong Kong Polytech Univ, Kowloon, Hong Kong
来源：
IECON '98 - PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method to control multivariable nonlinear systems with unknown parameters using an adaptive technique. First, a fuzzy plant model with unknown membership functions is obtained to describe the unknown nonlinear plant. Then, an adaptive fuzzy controller is designed to close the feedback loop. An adaptive law is derived based on the Lyapunov's stability theory to update the grades of membership such that the membership functions of the fuzzy plant model and the fuzzy controller are made the same with guaranteed close-loop system stability. An application example on stabilizing a nonlinear mass-spring-damper system with unknown parameters is given to illustrate the merits of the proposed adaptive fuzzy controller.
引用
收藏
页码：1758 / 1761
页数：4
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