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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

6. Stability and Synchronization of Neural Networks with Lévy Noise

verfasst von : Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong

Erschienen in: Stability and Synchronization Control of Stochastic Neural Networks

Verlag: Springer Berlin Heidelberg

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Abstract

As a simple model of jump diffusions, Lévy noise is in a more general sense with respect to the description of neural noise than Brownian motion does. This chapter is concentrated on the stability and synchronization issues of neural networks with Lévy noise. Almost surely exponential stability and pth moment asymptotic stability for such networks are discussed in the first two sections. Synchronization via sampled data and adaptive synchronization are investigated in the rest two sections.

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Vorheriges Kapitel Stability and Synchronization of Neutral-Type Neural Networks
Nächstes Kapitel Some Applications to Economy Based on Related Research Method
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Metadaten
Titel
Stability and Synchronization of Neural Networks with Lévy Noise
verfasst von
Wuneng Zhou
Jun Yang
Liuwei Zhou
Dongbing Tong
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
Buch
Stability and Synchronization Control of Stochastic Neural Networks

Print ISBN: 978-3-662-47832-5

Electronic ISBN: 978-3-662-47833-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-662-47833-2_6

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