Robust adaptive fuzzy control algorithm

被引：0

作者：

Zhang Ming-jun ^{[1
]}

Zhang Hua-guang ^{[1
]}

Zhang You ^{[1
]}

机构：

[1] Northeastern Univ, Dept Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

fuzzy control; nonlinear systems; generalized fuzzy hyperbolic model; adaptive control; SYSTEMS;

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：

A robust adaptive fuzzy control scheme for a class of nonlinear systems with uncertainty is proposed. First, using priori knowledge, a fuzzy model is obtained. which is called the generalized fuzzy hyperbolic model (GFHM). Then, the uncertainty of the system is approximated by the GFHM and a smooth control input with no chattering phenomena is developed. The overall control system guarantees that the tracking error converges in the small neighborhood of zero and that all signals involved are uniformly bounded. Simulation example is provided to demonstrate the effective of the proposed control algorithm.

引用

页码：1091 / +

页数：5

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