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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

163 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Article number7018050
Pages (from-to)1077-1086
Journal / PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume45
Issue number7
Publication statusPublished - 1 Jul 2015
Externally publishedYes

Abstract

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

Citation Format(s)