Title
Pinning Synchronization of Coupled Memristive Recurrent Neural Networks with Mixed Time-Varying Delays and Perturbations
Abstract
In this paper, the pinning synchronization of coupled memristive recurrent neural networks (MNNs) with mixed time-varying delays and perturbations is investigated. Precisely, the considered coupled MNNs include the non-delay, discrete time-varying delays, distributed time delays, impulsive perturbations and stochastic perturbations. Comparing with the existing results, the new and simple feedback controller and adaptive feedback controller are designed to achieve exponential synchronization with pinning schemes. Based on the suitable Lyapunov functional and the definition of pinning control, with the aid of inequality techniques and differential inclusions theory, some effective and novel sufficient conditions are obtained to guarantee the synchronization of our proposed model. Finally, numerical examples are given to illustrate the effectiveness and reasonable of our theoretical results.
Year
DOI
Venue
2019
10.1007/s11063-018-9811-y
Neural Processing Letters
Keywords
Field
DocType
Memristive recurrent neural networks,Pinning control,Mixed time-varying delays,Impulsive perturbations,Stochastic perturbations
Differential inclusion,Synchronization,Pattern recognition,Feedback controller,Control theory,Recurrent neural network,Exponential synchronization,Artificial intelligence,Lyapunov functional,Perturbation (astronomy),Mathematics
Journal
Volume
Issue
ISSN
49
1
1573-773X
Citations 
PageRank 
References 
0
0.34
38
Authors
5
Name
Order
Citations
PageRank
Manman Yuan1133.55
Xiong Luo29617.06
Wang Weiping333563.84
Lixiang Li453346.82
Haipeng Peng546637.86