Output-Feedback Control for Stochastic Feedforward Nonlinear Systems With Markovian Switching

被引：2

作者：

Wang, Hui ^{[1
]}

Yao, Xiaoxiao ^{[1
]}

Li, Wuquan ^{[1
]}

机构：

[1] Ludong Univ, Sch Math & Stat Sci, Yantai 264025, Peoples R China

来源：

IEEE ACCESS | 2022年 / 10卷

关键词：

Stochastic feedforward nonlinear systems; Markovian switching; output feedback control; GLOBAL STABILIZATION; CONTROLLABILITY; TRACKING; DESIGN;

D O I：

10.1109/ACCESS.2022.3190860

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies the output-feedback control for stochastic feedforward nonlinear systems with Markovian switching and unknown measurement sensitivity. By developing a stochastic dual-domination design approach, a state observer and an output feedback control law are designed. By using the generalized Ito formula and Dynkin formula for Markovian switching systems, it is shown that the closed-loop system has a unique solution and the solution of the closed-loop systems is almost surely asymptotically stable. Finally, a simulation example is given to illustrate the effectiveness of the control scheme.

引用

页码：74629 / 74637

页数：9

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