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Impulsive effect on exponential synchronization of neural networks with leakage delay under sampled-data feedback control
Version 2 2024-06-13, 09:18Version 2 2024-06-13, 09:18
Version 1 2023-10-26, 03:20Version 1 2023-10-26, 03:20
journal contribution
posted on 2024-06-13, 09:18 authored by L Shanmugam, JH Park, FA Rihan, R RakkiyappanWe consider the impulsive effect on the exponential synchronization of neural networks with leakage delay under the sampled-data feedback control. We use an appropriate Lyapunov - Krasovskii functional combined with the input delay approach and some inequality techniques to derive sufficient conditions that ensure the exponential synchronization of the delayed neural network. The conditions are formulated in terms of the leakage delay, the sampling period, and the exponential convergence rate. Numerical examples are given to demonstrate the usefulness and the effectiveness of the results. © 2014 Chinese Physical Society and IOP Publishing Ltd.
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Journal
Chinese physics bVolume
23Article number
070205Location
Bristol, Eng.Publisher DOI
ISSN
1674-1056Language
engCopyright notice
2014, Chinese Physical Society and IOP Publishing LtdIssue
7Publisher
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