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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 13/2021

28.11.2020 | Original Article

Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control

verfasst von: Wei Zhang, Jiangtao Qi

Erschienen in: Neural Computing and Applications | Ausgabe 13/2021

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Abstract

This paper contributes to the global exponential synchronization under impulses effective and periodically intermittent control for linearly coupled memristive inertial delayed neural networks (MIDNNs). First of all, we built an array of linearly coupled MIDNNs. Second, by using linear matrix inequality, Lyapunov function, comparison principle, and an extended Halanay differential inequality, we derived some conclusions which rely on impulses effects and periodically intermittent control insures the global exponential synchronization of the coupled MIDNNs. In the end, two instances put forward illustrate the feasibility of the theoretical results.
Vorheriger Artikel Fixed-time control of competitive complex networks
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Metadaten
Titel
Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control
verfasst von
Wei Zhang
Jiangtao Qi
Publikationsdatum
28.11.2020
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 13/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05540-z

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