Observer-based robust adaptive fuzzy control for nonlinear systems

被引：0

作者：

Zhang, Mingjun ^{[1
,2
]}

Zhang, Huaguang ^{[1
]}

Wang, Ye ^{[3
]}

机构：

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

[2] Beihua Univ, Dept Elect Engn, Jilin 132021, Peoples R China

[3] Zhuhua Wanglida Elect Co Ltd, Guangzhou 519085, Guangdong, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

fuzzy control; nonlinear systems; fuzzy basis function; adaptive control; observer;

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 output control scheme for a class of nonlinear system with uncertainty is proposed. The nonlinear system is treated as a partially known system and its all states are not available. A fuzzy basis function vector is introduced to learn the upper bound of the system uncertainty, and its output is used as the parameters of the robust controller. By designing an observer to estimate states, the robust adaptive fuzzy output feedback control scheme is realized. Based on Lyapunov stability theorem, the control system can guarantee that the tracking error converges in the small neighborhood of origin. The given simulation results confirm that the proposed control algorithms are feasible for practical application.

引用

页码：2334 / +

页数：2

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