https://orcid.org/0000-0002-3202-1127; Wenbing Zhao
Chaos Solitons and Fractals
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.
Yuan, Manman; Wang, Weiping; Luo, Xiong; Liu, Linlin; and Zhao, Wenbing, "Finite-time Anti-synchronization of Memristive Stochastic BAM Neural Networks with Probabilistic Time-varying Delays" (2018). Electrical Engineering and Computer Science Faculty Publications. 451.
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