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Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling.
- Source :
-
IEEE Transactions on Systems, Man & Cybernetics. Systems . Jul2015, Vol. 45 Issue 7, p1077-1086. 10p. - Publication Year :
- 2015
-
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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 21682216
- Volume :
- 45
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 103264625
- Full Text :
- https://doi.org/10.1109/TSMC.2014.2388199