Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays

Hou, Jie and Huang, Yanli and Yang, Erfu (2019) Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays. Neural Processing Letters, 50 (3). pp. 2871-2898. ISSN 1370-4621

[thumbnail of Hou-etal-NPL2019-Finite-time-anti-synchronization-of-multi-weighted-coupled-neural]
Preview
Text (Hou-etal-NPL2019-Finite-time-anti-synchronization-of-multi-weighted-coupled-neural)
Hou_etal_NPL2019_Finite_time_anti_synchronization_of_multi_weighted_coupled_neural.pdf
Accepted Author Manuscript

Download (297kB)| Preview

    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.

    ORCID iDs

    Hou, Jie, Huang, Yanli and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;