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
收藏
页码：6167 / 6172
页数：6
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