Journal
NONLINEAR DYNAMICS
Volume 81, Issue 3, Pages 1167-1178Publisher
SPRINGER
DOI: 10.1007/s11071-015-2058-5
Keywords
Synchronization; Memristive neural networks; Differential inclusion; Time-varying delays
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Funding
- National Science Foundation of China [11271146, 61374085]
- Fundamental Research Funds for the Central Universities of South-Central University For Nationalities [CZQ15019]
- Key Program of National Natural Science Foundation of China [61134012]
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This paper is focused on the exponential synchronization for a class of delayed memristive neural networks. Basing on nonsmooth analysis and control theory, several new sufficient conditions concerning global exponential synchronization are obtained for the proposed system. In addition, the obtained results complement and extend earlier publications on memristive or conventional neural network dynamical systems with continuous or discontinuous right-hand side. Finally, numerical simulations illustrate the effectiveness of our results.
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