Global Exponential Synchronization of Multiple Memristive Neural Networks with Time Delay via Nonlinear Coupling
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AbstractThis paper presents theoretical results on the global exponential synchronization of multiple memristive neural networks with time delays. A novel coupling scheme is introduced, in a general topological structure described by a directed or undirected graph, with a linear diffusive term and discontinuous sign term. Several criteria are derived based on the Lyapunov stability theory to ascertain the global exponential stability of synchronization manifold in the coupling scheme. Simulation results for several examples are given to substantiate the effectiveness of the theoretical results.
All Author(s) ListGuo Z., Yang S., Wang J.
Journal nameIEEE Transactions on Neural Networks and Learning Systems
Year2015
Month6
Day1
Volume Number26
Issue Number6
PublisherIEEE Computational Intelligence Society
Place of PublicationUnited States
Pages1300 - 1311
ISSN2162-237X
eISSN2162-2388
LanguagesEnglish-United Kingdom
KeywordsGlobal exponential synchronization, Memristive neural network (MNN), Nonlinear coupling, Synchronization manifold

Last updated on 2020-27-10 at 02:58