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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2017

15.03.2016

Weighted Average Pinning Synchronization for a Class of Coupled Neural Networks with Time-Varying Delays

verfasst von: Qingbo Li, Jin Guo, Yuanyuan Wu, Chang-Yin Sun

Erschienen in: Neural Processing Letters | Ausgabe 1/2017

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Abstract

This paper deals with the pinning synchronization problem for a class of neural networks with time-varying delay and nonsymmetrical coupling. The weighted average of all the node states is selected as the controlled synchronization state. A pinning feedback controller is proposed, and some sufficient conditions are derived to guarantee the global asymptotical synchronization by use of the Lyapunov–Krasovskii function method. Consequently, the adaptive pinning synchronization is also investigated. Finally, a numerical example is given to show the effectiveness of the main results.
Vorheriger Artikel Multi-focus Image Fusion Based on the Improved PCNN and Guided Filter
Nächster Artikel Finite-Time Stability of a Class of CNNs with Heterogeneous Proportional Delays and Oscillating Leakage Coefficients

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Metadaten
Titel
Weighted Average Pinning Synchronization for a Class of Coupled Neural Networks with Time-Varying Delays
verfasst von
Qingbo Li
Jin Guo
Yuanyuan Wu
Chang-Yin Sun
Publikationsdatum
15.03.2016
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2017
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-016-9514-1

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