Robust Synchronization of Multiple Memristive Neural Networks with Uncertain Parameters via Nonlinear Coupling

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Original languageEnglish
Article number7018050
Pages (from-to)1077-1086
Journal / PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number7
Publication statusPublished - 1 Jul 2015
Externally publishedYes


This paper is concerned with the global robust synchronization of multiple memristive neural networks (MMNNs) with nonidentical uncertain parameters. A coupling scheme is introduced, in a general topological structure described by a direct or undirect graph, with a linear diffusive term and a discontinuous sign term. First, a set of sufficient conditions are derived based on the Lyapunov stability theory for ascertaining global robust synchronization of coupled MMNNs. Second, a pinning adaptive coupling method is proposed to ensure global synchronization without knowing the bound of parameter uncertainties. Two illustrative examples are discussed to substantiate the theoretical results.

Research Area(s)

  • Global robust synchronization, memristive neural networks (MNNs), nonlinear coupling, pinning adaptive coupling

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