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• W4367310553 startingPage "364" @default.
• W4367310553 abstract "The objective of this research is to examine the global dissipativity and quasi-synchronization of fractional-order neural networks (FNNs). A global dissipativity criterion is established through the creation of an appropriate Lyapunov function, together with some fractional-order inequality techniques. Additionally, the issue of quasi-synchronization for drive-response FNNs is investigated using linear state feedback control. The study reveals the synchronization error converges to a bounded region by choosing an appropriate control parameter. Finally, the effectiveness of the obtained works are validated through three numerical examples." @default.
• W4367310553 created "2023-04-29" @default.
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• W4367310553 creator A5084461983 @default.
• W4367310553 date "2023-04-28" @default.
• W4367310553 modified "2023-09-30" @default.
• W4367310553 title "Quasi-Synchronization and Dissipativity Analysis for Fractional-Order Neural Networks with Time Delay" @default.
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• W4367310553 doi "https://doi.org/10.3390/fractalfract7050364" @default.
• W4367310553 hasPublicationYear "2023" @default.
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