Extended dissipative analysis of delayed stochastic Markovian jump neural networks

被引：0

作者：

Chen, Guoliang ^{[1
]}

Xia, Jianwei ^{[1
]}

Gao, Hui ^{[1
]}

机构：

[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252000, Peoples R China

来源：

PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年

关键词：

Dissipativity; Delayed stochastic Markovian jump neural networks; Stability; TIME-VARYING DELAYS; ROBUST STABILITY ANALYSIS; EXPONENTIAL STABILITY; PARAMETERS; SYSTEMS;

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：

In this brief, an extended dissipativity analysis is developed for a delayed stochastic Markovian jump neural networks(DSMNNs). Based on the concept of the extended dissipative, H-infinity, L-2 - L-infinity, the passive and dissipative performance are solved by adjusting the weighting matrices in a new performance index. In addition, two different methods are applied to deal with the stochastic cross terms containing Ito integral.

引用

下载

页码：5903 / 5908

页数：6

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