Synchronization of master-slave memristive neural networks via fuzzy output-based adaptive strategy

Ahmed Alsaedi, Jinde Cao, Bashir Ahmad, Ahmed Alshehri and Xuegang Tan

Chaos, Solitons & Fractals, 2022, vol. 158, issue C

Abstract: This paper considers the synchronization problem of memristive neural networks (MNNs) via a fuzzy output-based adaptive strategy, where the fuzzy model of MNNs with state-dependent memristor is employed. Several adaptive rules for the controller gain of the slave NNs and its connection weights are designed, which provide a new way to realize the state synchronization between master and slaver memristive NNs. Under these adaptive update rules, several synchronization results and their performance analysis are given, which verified by a simulation example.

Keywords: Synchronization; Memristor; Neural networks; Adaptive; Fuzzy model (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922003058

DOI: 10.1016/j.chaos.2022.112095

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