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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 1/2016

01.02.2016 | Original Article

Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control

verfasst von: Ruoxia Li, Hongzhi Wei

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 1/2016

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Abstract

This paper is concerned with the sampled-data synchronization issues for delayed memristive neural networks with Markovian jumping and reaction–diffusion terms. In the frame work of inequality techniques and a useful Lyapunov functional, some new testable algebraic criteria are obtained to ensure the stability of the error system, and thus, the master system can synchronize with the slave system. Finally, an illustrative example is exploited to demonstrate the performance and effectiveness of the developed approach.
Vorheriger Artikel Unsupervised link prediction in evolving abnormal medical parameter networks

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Metadaten
Titel
Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control
verfasst von
Ruoxia Li
Hongzhi Wei
Publikationsdatum
01.02.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 1/2016
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-015-0423-9

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