Stabilization for Markovian Jump Systems with Additive Time-varying Delays

被引：0
|
作者：
Zhang, Haiyang [1 ]
Qiu, Zhipeng [1 ]
Xiong, Lianglin [2 ]
Jiang, Guanghao [3 ]
Peng, Chen [2 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Sci, Nanjing 210094, Jiangsu, Peoples R China
[2] Yunnan Minzu Univ, Sch Math & Comp Sci, Kunming 650500, Yunnan, Peoples R China
[3] Huaibei Normal Univ, Dept Math, Huaibei 235000, Peoples R China
来源：
IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2017年
关键词：
Markov jump systems; additive time-varying delays; Lyapunov-Krasovski functionals; stabilization; Linear matrix inequalities; DEPENDENT ROBUST STABILITY; NEURAL-NETWORKS; INTEGRAL-INEQUALITIES; LINEAR-SYSTEMS; CRITERIA;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, the problem of stabilization for Markov jump systems (MJSs) with additive time-varying delays is considered. First of all, by constructing a new Lyapunov-Krasovski functionals (LKFs) with triple integral terms, using two new and less conservative integral inequalities, convex combination technique and the other analytical approaches, the stochastically stabilization conditions of the system in terms of Linear matrix inequalities (LMIs) are obtained. Then, the controller of the system is designed by the transformation technique of inequalities. Finally, a numerical example is given to verify the effectiveness of the provided methods.
引用
收藏
页码：3122 / 3127
页数：6
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