首页|Synchronization of master-slave memristive neural networks via fuzzy output-based adaptive strategy
Synchronization of master-slave memristive neural networks via fuzzy output-based adaptive strategy
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
This paper considers the synchronization problem of memristive neural networks (MNNs) via a fuzzy outputbased adaptive strategy, where the fuzzy model of MNNs with state-dependent memristor is employed. Several adaptive rules for the controller gain of the slave NNs and its connection weights are designed, which provide a new way to realize the state synchronization between master and slaver memristive NNs. Under these adaptive update rules, several synchronization results and their performance analysis are given, which verified by a simulation example. (C) 2022 Elsevier Ltd. All rights reserved.
NSTL
Elsevier
