Delay-induced synchronization in two coupled chaotic memristive Hopfield neural networks

Zhen Wang, Fatemeh Parastesh, Karthikeyan Rajagopal, Ibrahim Ismael Hamarash and Iqtadar Hussain

Chaos, Solitons & Fractals, 2020, vol. 134, issue C

Abstract: This paper is concerned with the synchronization of two coupled hyperbolic-type Hopfield neural networks with a memristive synaptic connection. The results show that the coupling with no time-delay cannot lead to complete synchronization and increasing the coupling strength causes anti-phase synchronization. While adding time-delays to the coupling term not only changes the dynamical behavior of the network but also facilitates reaching the full synchronization manifold. The network is investigated in two different cases of single and multiple time-delays. The calculated average‌ synchronization error indicates that using two time-delays has a better effect on the synchronization of systems. However, the synchronization region is lessened by increasing the time-delay values.

Keywords: Synchronization; Hopfield neural networks; Memristor; Time-delay (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:134:y:2020:i:c:s0960077920301041

DOI: 10.1016/j.chaos.2020.109702

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