Finite-time anti-synchronization of memristive stochastic BAM neural networks with probabilistic time-varying delays

Manman Yuan, Weiping Wang, Xiong Luo, Linlin Liu and Wenbing Zhao

Chaos, Solitons & Fractals, 2018, vol. 113, issue C, 244-260

Abstract: This paper investigates the drive-response finite-time anti-synchronization for memristive bidirectional associative memory neural networks (MBAMNNs). Firstly, a class of MBAMNNs with mixed probabilistic time-varying delays and stochastic perturbations is first formulated and analyzed in this paper. Secondly, an nonlinear control law is constructed and utilized to guarantee drive-response finite-time anti-synchronization of the neural networks. Thirdly, by employing some inequality technique and constructing an appropriate Lyapunov function, some anti-synchronization criteria are derived. Finally, a number simulation is provided to demonstrate the effectiveness of the proposed mechanism.

Keywords: Memristor; Stochastic BAM neural networks; Finite-time anti-synchronization; Probabilistic time-varying delays; Leakage delays (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:113:y:2018:i:c:p:244-260

DOI: 10.1016/j.chaos.2018.06.013

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