New method for global exponential synchronization of multi-link memristive neural networks with three kinds of time-varying delays

Wentao Hua, Yantao Wang and Chunyan Liu

Applied Mathematics and Computation, 2024, vol. 471, issue C

Abstract: In this paper, a new direct method based on system solutions is proposed to give global exponential synchronization analysis of multi-link memristive neural networks. The network dynamics are affected by time-varying distribution, leakage and transmission delays, simultaneously. Based on the definition of synchronization, sufficient conditions to ensure the synchronization of multi-link memristive neural networks are investigated, and thereby, a new controller is proposed. Compared with other controllers, the controller design method proposed in this paper is relatively simple, and avoids the construction of Lyapunov–Krasovskii functionals, which greatly reduces the workload. Finally, numerical simulations are given to check the effectiveness of this method.

Keywords: Global exponential synchronization; Multi-link memristive neural networks; Distribution time-varying delays; Transmission time-varying delays; Leakage time-varying delays (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:471:y:2024:i:c:s0096300324000651

DOI: 10.1016/j.amc.2024.128593

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