The Stability and Stabilization of Markov Jump Linear Systems with Regime Cluster

被引：0
|
作者：
Zhou Jian [1 ]
Kang Yu [1 ,2 ,3 ]
Zhu Jin [1 ]
机构：
[1] Univ Sci & Technol China, Dept Automat, Hefei, Peoples R China
[2] Univ Sci & Technol China, Dept Automat, State Key Lab Fire Sci, Hefei, Peoples R China
[3] Chinese Acad Sci, Key Lab Technol GeoSpatial Informat Proc & Applic, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Markov jump linear systems; regime cluster; stochastic stability; PROBABILITIES;
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 stability and stabilization analysis for another usual class of Markov jump linear systems(MJLSs). In this paper, some of the system's regimes are difficult or unable to classify accurately, and this problem can be solved via recombined the probability space of the system. As a result, the necessary and sufficient conditions for stochastic stability of the system are showed below. Finally, numerical example is provided to show the validity of the method. There are also some expectation about the application of the method used in this paper in the end.
引用
收藏
页码：1663 / 1667
页数：5
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