Finite-time tracking control for stochastic nonlinear systems with full state constraints

被引：95
|
作者：
Zhang, Jing [1 ]
Xia, Jianwei [1 ]
Sun, Wei [1 ]
Zhuang, Guangming [1 ]
Wang, Zhen [2 ]
机构：
[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252000, Shandong, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266590, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2018年 / 338卷
基金：
中国国家自然科学基金;
关键词：
Finite-time tracking control; Stochastic nonlinear systems; Barrier Lyapunov Function; State constraints; BARRIER LYAPUNOV FUNCTIONS; ADAPTIVE-CONTROL; FEEDBACK-CONTROL; STABILIZATION; STABILITY; INPUT; SYNCHRONIZATION;
D O I：
10.1016/j.amc.2018.05.040
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, an adaptive finite-time controller is constructed for stochastic nonlinear systems with parametric uncertainties. All the states in the systems are constrained in a bounded compact set. By constructing a tan-type Barrier Lyapunov Function, the scheme we proposed deals with the finite-time tracking control problem and all the state in the stochastic systems are not violated. Tracking error can converge into a small neighborhood of zero and all the signals in the closed-loop system are bounded. Simulation results demonstrate the effectiveness of the presented approach. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码：207 / 220
页数：14
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