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Neural Computing and Applications

Erschienen in:

24.06.2016 | Original Article

Global convergence of CNNs with neutral type delays and D operator

verfasst von: Luogen Yao

Erschienen in: Neural Computing and Applications | Ausgabe 1/2018

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Abstract

A model of cellular neural networks with neutral type delays and D operator is proposed. Applying appropriate differential inequality techniques, several sufficient conditions are derived to ensure the global exponential convergence of solutions for the proposed neural networks. Finally, a numerical simulation example is given to illustrate the effectiveness of the obtained results.

Vorheriger Artikel Sensorless control application of PMSM with a novel adaptation mechanism

Nächster Artikel Delay-dependent stochastic stability for discrete singular neural networks with Markovian jump and mixed time-delays

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Titel: Global convergence of CNNs with neutral type delays and D operator
verfasst von: Luogen Yao
Publikationsdatum: 24.06.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 1/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2403-8

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