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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2019

22.05.2018

Exponential Stability of Pseudo Almost Periodic Solutions for Fuzzy Cellular Neural Networks with Time-Varying Delays

verfasst von: Yi Tang

Erschienen in: Neural Processing Letters | Ausgabe 2/2019

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Abstract

This paper considers the exponential stability of pseudo almost periodic solutions for a class of fuzzy cellular neural networks with time-varying delays. Based on differential inequality techniques and by constructing suitable Lyapunov function, we achieve some sufficient conditions for the existence and exponential stability of pseudo almost periodic solutions for the model, which extend some previously known researches. Especially, we provide a numerical example to demonstrate the correctness of our results.
Vorheriger Artikel Trust-Aware Collaborative Filtering with a Denoising Autoencoder

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Metadaten
Titel
Exponential Stability of Pseudo Almost Periodic Solutions for Fuzzy Cellular Neural Networks with Time-Varying Delays
verfasst von
Yi Tang
Publikationsdatum
22.05.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9857-x

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