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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 8/2017

19.01.2016 | Original Article

New algebraic conditions for ISS of memristive neural networks with variable delays

verfasst von: Kai Zhong, Qiqi Yang, Song Zhu

Erschienen in: Neural Computing and Applications | Ausgabe 8/2017

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Abstract

In this paper, a general class of memristive neural networks with variable delays is studied. By utilizing control theory and nonsmoooth analysis, two sufficient criteria ensuring input-to-state stability of memristive neural networks with variable delays are firstly obtained which are novel and more practical than the previous works in the literature. Finally, a numerical example is given to demonstrate the effectiveness of our results.
Vorheriger Artikel Multi-kernel learning for multivariate performance measures optimization
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Metadaten
Titel
New algebraic conditions for ISS of memristive neural networks with variable delays
verfasst von
Kai Zhong
Qiqi Yang
Song Zhu
Publikationsdatum
19.01.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 8/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2176-0

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