Stochastic Stability Analysis for Networked Markov Jump System

被引：0
|
作者：
Zhenhua, Ma [1 ]
Aslam, Muhammad Shamrooz [1 ]
机构：
[1] Guangxi Univ Sci & Technol Liuzhou, Sch Automat, Liuzhou 54502, Guangxi, Peoples R China
来源：
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | 2023年 / 82卷 / 05期
关键词：
ETM; LMI; Networked systems; NM[!text type='JS']JS[!/text; Stochastic filters; H-INFINITY CONTROL; S FUZZY-SYSTEMS; ROBUST; ADMISSIBILITY; STABILIZATION; DESIGN;
D O I：
10.56042/jsir.v82i05.1091
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the paper, we describe the development and implementation of reliable H & INFIN;filters for a class of Networked Markov Jump Systems (NMJS) with random sensor failures that are triggered by events. The plant's nonlinear dynamic is approximated with a NMJS. Failures of sensors are described using stochastic variables. The Event-Triggered Mechanism (ETM) is introduced to NCS, which offers some positive points over other schemes. Using the event-triggered mechanism, data of sensors from the plant will be only transmitted if it contradicts the specified condition. By considering the effects of an ETM and the sensor faults, the event-based filter is developed for NMJS. The design parameters of the filter as well as sufficient conditions for its existence are given accurately based on Linear Matrix Inequality (LMI).
引用
收藏
页码：552 / 557
页数：6
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