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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2020

12.07.2020

Synchronization of Stochastic Complex Dynamical Networks with Mixed Time-Varying Coupling Delays

verfasst von: M. Syed Ali, M. Usha, Ahmed Alsaedi, Bashir Ahmad

Erschienen in: Neural Processing Letters | Ausgabe 2/2020

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Abstract

Synchronization of complex networks with mixed time-varying coupling delays and stochastic perturbation. We constructed a novel Lyapunov functional with triple integral terms. By applying Jensen’s inequality and Lyapunov stability theory stability conditions are derived to check the asymptotical stability of the concerned system. By employing the stochastic evaluation and Kronecker product delay-dependent synchronization criteria of stochastic complex dynamical networks are derived. By using the derived conditions control gain matrix is obtained. Finally, numerical results are presented to demonstrate the effectiveness and usefulness of the proposed results.
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Metadaten
Titel
Synchronization of Stochastic Complex Dynamical Networks with Mixed Time-Varying Coupling Delays
verfasst von
M. Syed Ali
M. Usha
Ahmed Alsaedi
Bashir Ahmad
Publikationsdatum
12.07.2020
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2020
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10301-z

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