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Exponential Synchronization of Inertial Cohen–Grossberg Neural Networks with Time-Varying Delays via Periodically Intermittent Control
Abstract
This paper deals with the exponential synchronization problem of inertial Cohen–Grossberg neural networks with time-varying delays under periodically intermittent control. In light of Lyapunov–Krasovskii functional method and inequality techniques, some sufficient conditions are attained to ensure the exponential synchronization of the master-slave system on the basis of p-norm. Meanwhile, the periodically intermittent control schemes are designed. Finally, in order to verify the effectiveness of theoretical results, some numerical simulations are provided.
Keywords
Synchronization; Inertial Cohen–Grossberg neural networks; periodically intermittent control; delays; Lyapunov–Krasovskii functional
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This article can be used for non-commercial purposes. Mentioning of the publication source is mandatory while referring this article in any future works.
