Adaptive fuzzy controller design of nonlinear systems with unknown gain sign

被引：43

作者：

Liu, Yan-Jun ^{[1
]}

Wang, Zhi-Feng ^{[2
]}

机构：

[1] Liaoning Univ Technol, Dept Math & Phys, Jinzhou 121001, Liaoning, Peoples R China

[2] Liaoning Univ Sci & Technol, Sch Elect & Informat Engn, Anshan 114004, Liaoning, Peoples R China

来源：

NONLINEAR DYNAMICS | 2009年 / 58卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Nonlinear systems; Adaptive fuzzy control; Nussbaum-gain function; NEURAL-CONTROL; TRACKING CONTROL; DELAY SYSTEMS; OBSERVER;

D O I：

10.1007/s11071-009-9510-3

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

For a class of uncertain nonlinear non-affine systems, an adaptive fuzzy controller is proposed in this paper. Compared with the existing results, the proposed controller does not require a priori knowledge about the sign of the control gain coefficient. It can be shown that all the signals in the closed-loop system are bounded and the tracking error converges to a bounded compact sets by choosing design parameters appropriately. A simulation example is given to guarantee the effectiveness of the proposed controller.

引用

页码：687 / 695

页数：9

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