Estimation for Markovian Jump Systems with Sampled Data

被引:0
作者
Liu Xiaoyang [1 ]
Yu Wenwu [2 ,3 ]
机构
[1] JiangSu Normal Univ, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China
[2] Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
[3] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia
来源
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
Discontinuous Lyapunov functional; Markovian jump systems; State Estimation; Sampled Data; H-INFINITY CONTROL; ROBUST STATE ESTIMATION; STOCHASTIC-SYSTEMS; NEURAL-NETWORKS; LINEAR-SYSTEMS; DELAY; 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 is concerned with the state estimation problem for a class of Markovian jump systems with sampled-data, where the system measurements are sampled and then transmitted to the estimator in order to estimate the states of jumped systems under consideration. Based on the discontinuous sawtooth delay, a corresponding discontinuous Lyapunov functional is constructed, and sufficient conditions are established to guarantee the asymptotical mean-square stability of the error systems. The explicit expression of the desired estimators is also provided. Finally, one simulation example is given to illustrate the design procedures of the proposed method.
引用
收藏
页码:128 / 131
页数:4
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