Synchronization of Stochastic Memristive Neural Networks with Retarded and Advanced Argument
Synchronization of Stochastic Memristive Neural Networks with Retarded and Advanced Argument作者机构：School of Mathematics and Statistics Hubei Normal University Huangshi China
出 版 物：《Journal of Intelligent Learning Systems and Applications》 (智能学习系统与应用（英文）)
年 卷 期：2021年第13卷第1期
页 面：1-14页
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题：Synchronization Memristive Neural Networks Random Disturbance Time-Delay Feedback Adaptive Control Retarded and Advanced System
摘 要：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.
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