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Erschienen in: Neural Processing Letters 1/2017

15.03.2016

Finite-Time Stability of a Class of CNNs with Heterogeneous Proportional Delays and Oscillating Leakage Coefficients

verfasst von: Bingwen Liu

Erschienen in: Neural Processing Letters | Ausgabe 1/2017

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Abstract

The paper is concerned with the finite-time stability for a class of non-autonomous cellular neural networks with heterogeneous proportional delays and oscillating leakage coefficients. By employing the differential inequality techniques, we establish a novel result to ensure the finite-time stability of the addressed system. Meanwhile, the generalized exponential synchronization is also established. Our approach handles particular cases which were not considered in some early relevant results. An example along with its numerical simulation is presented to demonstrate the validity of the proposed result.

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Metadaten
Titel
Finite-Time Stability of a Class of CNNs with Heterogeneous Proportional Delays and Oscillating Leakage Coefficients
verfasst von
Bingwen Liu
Publikationsdatum
15.03.2016
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2017
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-016-9512-3

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