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- W2955889610 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." @default.
- W2955889610 created "2019-07-12" @default.
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- W2955889610 date "2019-06-25" @default.
- W2955889610 modified "2023-09-24" @default.
- W2955889610 title "Finite-Time Anti-synchronization of Multi-weighted Coupled Neural Networks With and Without Coupling Delays" @default.
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- W2955889610 doi "https://doi.org/10.1007/s11063-019-10069-x" @default.
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