Asymptotic Synchronization Control of Discrete-Time Delayed Neural Networks With a Reuse Mechanism Under Missing Data and Uncertainty

Asymptotic Synchronization Control of Discrete-Time Delayed Neural Networks With a Reuse Mechanism Under Missing Data and Uncertainty

This paper focuses on the mean-square asymptotic synchronization of discrete-time delayed neural networks with missing data and uncertainty. The unreliable communication links between neural networks are considered, and the process of missing data is modeled as a stochastic process that satisfies Be...

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Bibliographic Details
Main Authors: De-Hui Lin, Jun Wu, Jian-Ning Li, Jian-Ping Cai
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Asymptotic synchronization control
discrete-time neural network
time-varying delay
controller design
reuse mechanism
simulated annealing algorithm
Online Access:https://ieeexplore.ieee.org/document/8466883/
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