Finite-time projective synchronization of fractional-order complex-valued memristor-based neural networks with delay

Yanlin Zhang and Shengfu Deng

Chaos, Solitons & Fractals, 2019, vol. 128, issue C, 176-190

Abstract: This paper studies the finite-time projective synchronization of fractional-order complex-valued memristor-based neural networks (FCVMNNs) with delay. By applying the set-valued map, the differential inclusion theory and Gronwall–Bellman integral inequalities, some sufficient criteria are established to achieve the finite time projective synchronization of the FCVMNNs. The upper bound of the settling time for synchronization is also estimated. Moreover, two numerical examples are designed to verify the correctness and effectiveness of the obtained theoretical results.

Keywords: Finite-time synchronization; Fractional-order; Memristor-based; Complex-valued (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:128:y:2019:i:c:p:176-190

DOI: 10.1016/j.chaos.2019.07.043

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