Finite-time stabilization for a class of stochastic output-constrained systems by output feedback

被引：9

作者：

Fang, Liandi ^{[1
,2
]}

Ma, Li ^{[1
]}

Park, Ju H. ^{[3
]}

Ding, Shihong ^{[1
]}

机构：

[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China

[2] Tongling Univ, Coll Math & Comp Sci, Tongling, Anhui, Peoples R China

[3] Yeungnam Univ, Dept Elect Engn, Kyongsan 38541, South Korea

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2022年 / 32卷 / 03期

基金：

新加坡国家研究基金会; 中国国家自然科学基金;

关键词：

finite-time stabilization; output constraints; state observer; stochastic nonlinear systems; BARRIER LYAPUNOV FUNCTIONS; NONLINEAR-SYSTEMS; ADAPTIVE-CONTROL; NEURAL-CONTROL;

D O I：

10.1002/rnc.5879

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 paper, the issue of output feedback finite-time stabilization is investigated for a class of p-norm stochastic systems with output constraints. A novel tan-type barrier Lyapunov function (BLF) is constructed to cope with the constraint on the system output, and a finite-time state feedback controller is subsequently designed by the adding a power integrator technique. Then, based on the designed state feedback controller and a devised nonsmooth observer for the unmeasurable state, the output feedback finite-time stabilizer is obtained. Both the theoretical analysis and numerical example demonstrate that the proposed scheme guarantees the finite-time stability of the considered system without violating the prespecified output constraint.

引用

页码：1256 / 1271

页数：16

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