Adaptive Interval 2 Fuzzy Neural Control for a class of Nonlinear Systems with Uncertainty and State Time delays

被引：0
|
作者：
Wang Yingying [1 ]
Wang Yingchun [1 ]
Yang Dongsheng [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Peoples R China
来源：
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
基金：
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词：
Backstepping Control; Adaptive Control; Nonlinear Control; Interval Type 2 Fuzzy Neural Network(IT2FNN); NETWORKED CONTROL; STABILIZATION;
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：
In this paper, a new adaptive control is proposed for uncertain nonlinear systems with state time delay. The uncertainties is approximately modeled by Interval type-2 fuzzy neural networks. The proposed approach is based on the backstepping control technique. An adaptive interval type 2 neural fuzzy control is proposed for a class of uncertain nonlinear systems with unknown time delays. It is mathematically proved that the proposed adaptive fuzzy neural control approach is able to guarantee that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded. An example is given to show the effectiveness.
引用
收藏
页码：3492 / 3497
页数：6
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