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

页码：2099 / 2109

页数：11

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