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.
引用
收藏
页码：157 / 169
页数：12
相关论文
共 73 条
[1]  
Chua L(1971)Memristor—the missing circuit element IEEE Trans Circuit Theory 18 507-519
[2]  
Strukov D(2008)The missing memristor found Nature 453 80-83
[3]  
Snider G(2011)Nonlinear dynamics of memristor oscillators IEEE Trans Circuits Syst I 58 1323-1336
[4]  
Stewart D(2008)Electronics: the fourth element Nature 453 42-43
[5]  
Williams R(2010)Hopf bifurcation from lines of equilibria without parameters in memristor oscillators Int J Bifurcation Chaos 20 437-450
[6]  
Corinto F(2008)Memristor oscillators Int J Bifurcation Chaos 18 3183-3206
[7]  
Ascoli A(2010)Fractional-order memristor-based Chua’s circuit IEEE Trans Circuits Syst II Exp Briefs 57 975-979
[8]  
Gilli M(2000)Improving learning accuracy of fuzzy decision trees by hybrid neural networks IEEE Trans Fuzzy Syst 8 601-614
[9]  
Tour J(2007)Training T-S norm neural networks to refine weights for fuzzy if-then rules Neurocomputing 70 2581-2587
[10]  
He T(1992)Cellular neural networks with nonlinear and delay-type tempiate Int J Circuit Theory Appl 20 469-481
12345678