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

被引:7
|
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
基金
中国国家自然科学基金; 新加坡国家研究基金会;
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
收藏
页码:1256 / 1271
页数:16
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