Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control

被引：0
作者：
Ruoxia Li
Hongzhi Wei
机构：
[1] Southeast University,Department of Mathematics, and Research Center for Complex Systems and Network Sciences
[2] Chongqing University,Department of Mathematics and Statistics
来源：
International Journal of Machine Learning and Cybernetics | 2016年 / 7卷
关键词：
Memristor; Synchronization; Reaction–diffusion; Markovian jump; Sampled data;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is concerned with the sampled-data synchronization issues for delayed memristive neural networks with Markovian jumping and reaction–diffusion terms. In the frame work of inequality techniques and a useful Lyapunov functional, some new testable algebraic criteria are obtained to ensure the stability of the error system, and thus, the master system can synchronize with the slave system. Finally, an illustrative example is exploited to demonstrate the performance and effectiveness of the developed approach.
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页码：157 / 169
页数：12
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