Finite-time synchronization of fractional-order memristor-based neural networks with time delays

Finite-time synchronization of fractional-order memristor-based neural networks with time delays

In this paper, we consider the problem of finite-time synchronization of a class of fractional-order memristor-based neural networks (FMNNs) with time delays and investigated it potentially. By using Laplace transform, the generalized Gronwall’s inequality, Mittag-Leffler functions and linear feedba...

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Veröffentlicht in:Neural networks 2016-01, Vol.73, p.36-46
Hauptverfasser: Velmurugan, G., Rakkiyappan, R., Cao, Jinde
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Feedback
Finite-time synchronization
Fractional-order neural networks
Linear Models
Memristor
Neural Networks (Computer)
Time delays
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Zusammenfassung:In this paper, we consider the problem of finite-time synchronization of a class of fractional-order memristor-based neural networks (FMNNs) with time delays and investigated it potentially. By using Laplace transform, the generalized Gronwall’s inequality, Mittag-Leffler functions and linear feedback control technique, some new sufficient conditions are derived to ensure the finite-time synchronization of addressing FMNNs with fractional order α:1
ISSN:0893-6080
1879-2782
DOI:10.1016/j.neunet.2015.09.012