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• W2783203055 endingPage "2104" @default.
• W2783203055 startingPage "2095" @default.
• W2783203055 abstract "In this article, we present several results on global exponential stability of a fractional‐order cellular neural network with impulses and with time‐varying and distributed delay. By using the Lyapunov‐like function methods in conjunction with the Razumikhin techniques, we derive sufficient condition for the exponential stability with an exponential convergence rate. The obtained outcomes of our present investigation significantly extend and generalize the corresponding results existing in the current literature. Finally, we give 2 illustrative examples to demonstrate the theoretical findings." @default.
• W2783203055 created "2018-01-26" @default.
• W2783203055 creator A5011407291 @default.
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• W2783203055 date "2018-01-09" @default.
• W2783203055 modified "2023-10-18" @default.
• W2783203055 title "Global exponential stability of fractional‐order impulsive neural network with time‐varying and distributed delay" @default.
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• W2783203055 doi "https://doi.org/10.1002/mma.4736" @default.
• W2783203055 hasPublicationYear "2018" @default.
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