An Improved Delay-dependent H∞ Filtering for Markovian Jump Model with Interval Time-varying-delays based on Networked Control Systems

被引：0
|
作者：
Xu, Nuo [1 ,2 ]
Sun, Liankun [1 ,2 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin, Peoples R China
[2] Tianjin Polytech Univ, Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin, Peoples R China
来源：
2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年
基金：
中国国家自然科学基金;
关键词：
Networked control systems(NCSs); Markovian jump model(MJM); interval time-varying delay; Method of filtering design; FEEDBACK CONTROL; LINEAR-SYSTEMS; STABILITY;
D O I：
暂无
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 put forward an improved H-infinity filtering for time-varying-delayed Markovian jump model (MJM), which is based on the Networked control systems(NCSs). When considering the asymptotic stability of the filtering error system, a new method is used to deal wills inequalities in LKF. According to these conditions, the delay dependent filter has been designed. The results are showd by the LMIs. Finally, the advantages of the proposed method are illustrated by simulation, and the specific parameters of the filter system are obtained.
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页码：24 / 29
页数：6
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