Adaptive tracking control of uncertain switched stochastic nonlinear systems

被引：34
|
作者：
Wang, Fang [1 ,2 ]
Chen, Bing [1 ]
Zhang, Ziye [2 ]
Lin, Chong [1 ]
机构：
[1] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Peoples R China
来源：
NONLINEAR DYNAMICS | 2016年 / 84卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Adaptive fuzzy control; Backstepping technique; Stochastic switched nonlinear systems; Dead-zone nonlinearities; OUTPUT-FEEDBACK CONTROL; LINEAR-SYSTEMS; NEURAL-CONTROL; TIME-SYSTEMS; STABILIZATION; DESIGN; STABILITY; FORM;
D O I：
10.1007/s11071-016-2631-6
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, a tracking control problem is investigated for a class of switched stochastic nonlinear uncertain systems with unknown dead-zone input. By using the common Lyapunov function method and backstepping technique, a common controller and an uniform adaptive mechanism are constructed, and a novel adaptive fuzzy control scheme is developed. It is proved that the proposed control method can guarantee that all the signals in the closed-loop system are bounded in probability and the tracking error is convergent to a neighborhood of the origin under arbitrary switching. Finally, simulation results are provided to show the effectiveness of the proposed control scheme.
引用
收藏
页码：2099 / 2109
页数：11
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