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Synchronization of Stochastic Memristive Neural Networks with Retarded and Advanced Argument
School of Mathematics and Statistics, Hubei Normal University, Huangshi, China
- 1 School of Mathematics and Statistics, Hubei Normal University, Huangshi, China
Journal of Intelligent Learning Systems and Applications·Volume 13 (2021)·Pages 1–14·Published 26 February 2021·DOI10.4236/jilsa.2021.131001
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Abstract
In this paper, we discuss the driving-response synchronization problem for two memristive neural networks with retarded and advanced arguments under the condition of additional noise. The control law is related to the linear time-delay feedback term, and the discontinuous feedback term. Moreover, the random different equation is used to prove the stability of this theory. At the end, the simulation results verify the correctness of the theoretical results.
KeywordsSynchronizationMemristive Neural NetworksRandom DisturbanceTime-Delay FeedbackAdaptive ControlRetarded and Advanced System
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