Journal
NEUROCOMPUTING
Volume 267, Issue -, Pages 396-405Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2017.06.049
Keywords
Memristive neural networks; Exponential adaptive synchronization; Stochastic perturbations; Time-varying delays
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Funding
- Natural Science Foundation of China [61603325]
- Innovation Program of Shanghai Municipal Education Commission [13ZZ050]
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This paper is focused on the global exponential adaptive synchronization problem of two stochastic memristive chaotic neural networks with both stochastic disturbance and time-varying delays. First, in order to develop the guaranteed cost control, a periodically alternate adaptive rule is designed. Then, by constructing appropriate Lyapunov-Krasovskii functionals, several easily verified synchronization criteria are derived to guarantee exponential adaptive synchronization of drive-response stochastic memristive chaotic recurrent neural networks. Lastly, a numerical simulation is carried out to demonstrate the effectiveness of the proposed results. (C) 2017 Elsevier B.V. All rights reserved.
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