Sliding Mode Sampled Control for Markovian Jump Systems

被引：0

作者：

Xu, Tianshu ^{[1
]}

Cao, Zhiru ^{[2
]}

Chen, Bei ^{[3
]}

Niu, Yugang ^{[1
]}

机构：

[1] East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

[2] Shanghai Univ, Sch Mech Engn & Automat 2, Shanghai, Peoples R China

[3] Shanghai Univ Engn Sci, Shanghai, Peoples R China

来源：

2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年

关键词：

Markovian jump systems; sampled control; input-delay method; the mean-square exponential ultimate boundedness; STABILIZATION;

D O I：

10.1109/CCDC58219.2023.10326605

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 work discusses the problem of sliding mode sampled control for Markovian jump systems (MJSs), in which the system state is sampled via two randomly switching periods. By means of the input-delay approach, the controlled MJSs is modeled as a continuous time-delay system. A mode-dependent sliding mode sampled controller is designed to achieve the mean-square exponential ultimate boundedness and the reachability of the specified sliding surface. Meanwhile, the corresponding sufficient conditions are derived and an optimization solving algorithm is provided. Finally, simulation results via a boost converter circuit are provided to illustrate the designed control scheme.

引用

页码：2206 / 2210

页数：5

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