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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2014

01.08.2014

Global Robust Exponential Stability for Interval Delayed Neural Networks with Possibly Unbounded Activation Functions

verfasst von: Sitian Qin, Dejun Fan, Ming Yan, Qinghe Liu

Erschienen in: Neural Processing Letters | Ausgabe 1/2014

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Abstract

In this paper, we mainly study the global robust exponential stability of the neural networks with possibly unbounded activation functions. Based on the topological degree theory and Lyapunov functional method, we provide some new sufficient conditions for the global robust exponential stability. Under these conditions, we prove existence, uniqueness and global robust exponential stability of equilibrium point. In the end, some examples are provided to demonstrate the validity of the theoretical results.
Vorheriger Artikel Glowworm Swarm Optimization for Dispatching System of Public Transit Vehicles
Nächster Artikel Periodic Solution for Fuzzy Cohen–Grossberg BAM Neural Networks with Both Time-Varying and Distributed Delays and Variable Coefficients

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Metadaten
Titel
Global Robust Exponential Stability for Interval Delayed Neural Networks with Possibly Unbounded Activation Functions
verfasst von
Sitian Qin
Dejun Fan
Ming Yan
Qinghe Liu
Publikationsdatum
01.08.2014
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2014
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-013-9309-6

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