2017
DOI: 10.1016/j.jfranklin.2017.08.013
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General decay synchronization of memristor-based Cohen–Grossberg neural networks with mixed time-delays and discontinuous activations

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Cited by 33 publications
(26 citation statements)
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“…Furthermore, the synchronization play an extremely important role in many fields of science including biology, climatology, sociology, ecology [13][14][15][16][17][18][19][20][21] . In view of the significance of the synchronization for delayed recurrent cellular neural networks (RCNNs), there are many important works have been developed to stabilize or synchronize neural networks and nonlinear systems [13][14][15][16][17][18][19][20][21][22][23][24] .…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the synchronization play an extremely important role in many fields of science including biology, climatology, sociology, ecology [13][14][15][16][17][18][19][20][21] . In view of the significance of the synchronization for delayed recurrent cellular neural networks (RCNNs), there are many important works have been developed to stabilize or synchronize neural networks and nonlinear systems [13][14][15][16][17][18][19][20][21][22][23][24] .…”
Section: Introductionmentioning
confidence: 99%
“…Remark For the synchronization conditions given in other works, the time delays assumed to be constant delays or time‐varying delays that are differentiable such that their derivatives are not greater than one. Note that, in our assumption H 1 , those restrictions are removed in this paper, which means that our established results have a wider applicability.…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…The time evolution of synchronization errors between master-slave systems (38) and (39) are shown in Figures 7, 8, and 9, where the initial values of slave Remark 8. For the synchronization conditions given in other works, 2,23,24,[27][28][29][30]39 the time delays assumed to be constant delays or time-varying delays that are differentiable such that their derivatives are not greater than one. Note that, in our assumption H 1 , those restrictions are removed in this paper, which means that our established results have a wider applicability.…”
Section: Examplementioning
confidence: 99%
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