Finite-time state-feedback control for a class of stochastic constrained nonlinear systems

被引:7
作者
Fang, Liandi [1 ]
Ding, Shihong [2 ]
Ma, Li [2 ]
Zhu, Daohong [1 ]
机构
[1] Tongling Univ, Coll Math & Comp Sci, Tongling 244000, Peoples R China
[2] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 14期
基金
中国国家自然科学基金;
关键词
BARRIER LYAPUNOV FUNCTIONS; ADAPTIVE-CONTROL; STABILIZATION;
D O I
10.1016/j.jfranklin.2022.07.025
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the finite-time stability problem is investigated for a kind of stochastic nonlinear systems subject to asymmetric output constraints. Firstly, a new asymmetric barrier Lyapunov function (BLF) is introduced to deal with the constraint on output variable. Further, through incorporating the proposed BLF into the adding a power integrator technique, a state-feedback controller is explicitly designed. With the help of the stochastic Lyapunov stability theory, it is then proved that the origins of the considered systems are finite-time stable in probability under the designed controller. Meanwhile, the proposed control scheme also guarantees that the pre-given output constraint is not violated in the almost sure sense. Finally, the simulation results of an example are provided to demonstrate the derived theoretical conclusion. (C) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:7415 / 7437
页数:23
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