Title
Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations.
Abstract
This paper investigates the synchronization control problem of coupled memristor-based neural networks (CMNNs) with mixed delays and stochastic perturbations. By utilizing simple feedback controllers, some novel sufficient conditions are derived to ensure the exponential synchronization of CMNNs with mixed delays and stochastic perturbations in mean square. In addition, by means of adaptive feedback controllers, the asymptotic synchronization of CMNNs with mixed delays and stochastic perturbations in mean square can also be achieved via stochastic LaSalle invariance principle. Numerical simulations are presented to illustrate the effectiveness of the theoretical results.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11063-017-9675-6
Neural Processing Letters
Keywords
Field
DocType
Synchronization,Stochastic perturbations,Mixed delays,Coupled memristor-based neural networks,Feedback controllers
Mean square,Memristor,Synchronization,Invariance principle,Control theory,Stochastic neural network,Exponential synchronization,Artificial neural network,Mathematics,Perturbation (astronomy)
Journal
Volume
Issue
ISSN
47
2
1370-4621
Citations 
PageRank 
References 
2
0.37
23
Authors
5
Name
Order
Citations
PageRank
Chuan Chen1557.63
Lixiang Li253346.82
Haipeng Peng346637.86
Yixian Yang41121140.62
Tao Li514354.36