Adaptive fuzzy controller for a class of nonlinear systems

被引：0

作者：

Han, Hugang ^{[1
]}

机构：

[1] Prefectural Univ Hiroshima, Fac Management Informat Syst, Minami Ku, Hiroshima 7348558, Japan

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2005年 / 1卷 / 04期

关键词：

fuzzy control; fuzzy approximator; Lyapunov synthesis approach; system stability; adaptive law;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an adaptive fuzzy controller for a class of nonlinear system with disturbance, in an effort to (1) utilize knowledge about the system to be controlled as much as possible; (2) stably tune all parameters involved in the whole system; (3) guarantee the system stability and let the tracking error between system state and its reference model state shrink to arbitrarily small magnitude by choosing appropriate control parameters. Simulations performed on a simple nonlinear system illustrate the approach and theoretical analysis.

引用

页码：727 / 742

页数：16

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