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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2019

25.06.2019

Finite-Time Anti-synchronization of Multi-weighted Coupled Neural Networks With and Without Coupling Delays

verfasst von: Jie Hou, Yanli Huang, Erfu Yang

Erschienen in: Neural Processing Letters | Ausgabe 3/2019

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Abstract

The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are investigated in this paper. Firstly, the finite-time anti-synchronization of MWCNNs with fixed topology and switching topology is analyzed respectively by utilizing Lyapunov functional approach as well as some inequality techniques, and several anti-synchronization criteria are put forward for the considered networks. Furthermore, when the parameter uncertainties appear in MWCNNs, some conditions for ensuring robust finite-time anti-synchronization are obtained. Similarly, we also consider the finite-time anti-synchronization and robust finite-time anti-synchronization for MWCNNs with coupling delays under fixed and switched topologies respectively. Lastly, two numerical examples with simulations are provided to confirm the effectiveness of these derived results.
Vorheriger Artikel A Stable, Unified Density Controlled Memetic Algorithm for Gene Regulatory Network Reconstruction Based on Sparse Fuzzy Cognitive Maps
Nächster Artikel Learning Distance Metric for Support Vector Machine: A Multiple Kernel Learning Approach

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Metadaten
Titel
Finite-Time Anti-synchronization of Multi-weighted Coupled Neural Networks With and Without Coupling Delays
verfasst von
Jie Hou
Yanli Huang
Erfu Yang
Publikationsdatum
25.06.2019
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-019-10069-x

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