Adaptive tracking control for a class of uncertain switched stochastic nonlinear systems

被引：4
|
作者：
Liu, Xikui [1 ]
Li, Yanxin [1 ]
Li, Yan [2 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Shandong, Peoples R China
来源：
ADVANCES IN DIFFERENCE EQUATIONS | 2019年 / 2019卷 / 1期
基金：
中国国家自然科学基金;
关键词：
Adaptive fuzzy control; Stochastic switched nonlinear systems; Backstepping technique; DISCRETE-TIME-SYSTEMS; NEURAL-CONTROL; LYAPUNOV FUNCTIONS; STABILIZATION; DESIGN; STABILITY; FORM;
D O I：
10.1186/s13662-019-1975-x
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper pursues an adaptive fuzzy control scheme for a class of nonlinear systems with stochastic switching. A general controller and adaptive mechanism are designed by utilizing Lyapunov function approach and backstepping technique. It is demonstrated that the presented control method can guarantee that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded (SUUB) and the tracking error is convergent to a neighborhood of the origin. Finally, the simulation results verify the feasibility of the control strategy presented in this paper.
引用
收藏
页数：25
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