Analysis of global O(t−α) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays

In this paper, the problem of the global O(t−α) stability and global asymptotic periodicity for a class of fractional-order complex-valued neural networks (FCVNNs) with time varying delays is investigated. By constructing suitable Lyapunov functionals and a Leibniz rule for fractional differentiatio...

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Veröffentlicht in:	Neural networks 2016-05, Vol.77, p.51-69
Hauptverfasser:	Rakkiyappan, R., Sivaranjani, R., Velmurugan, G., Cao, Jinde
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Complex-valued neural networks Fractional-order neural networks Globally asymptotic periodicity Neural Networks (Computer) S-asymptotically periodic solution Time Time-varying delays
Online-Zugang:	Volltext
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