Observer-based fuzzy adaptive control for stochastic nonlinear time-varying delay systems with unknown control directions

被引：0

作者：

Liu, Yanli ^{[1
]}

Ma, Hongjun ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China

来源：

2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年

关键词：

Adaptive fuzzy control; stochastic systems; output-feedback; time-varying delay; Nussbaum-type function; UNCERTAIN SYSTEMS; DESIGN;

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：

This paper discussed the problem of adaptive fuzzy output-feedback tracking control for a class of stochastic nonlinear systems with time-varying delay. With the help of a state observer and an appropriate stochastic Lyapunov-Krasovskii functional, an adaptive fuzzy tracking controller is developed, which ensures the boundedness of all the closed-loop signals and the convergence of the tracking error to a small neighborhood of the origin. A simulation example is given to illustrate the effectiveness of the proposed approach.

引用

页码：6167 / 6172

页数：6

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