FINITE-TIME OUTPUT-FEEDBACK PASSIFICATION OF UNCERTAIN FRACTIONAL-ORDER NEURAL NETWORKS HAVING TIME-VARYING DELAYS

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dc.contributor.authorSerikova, Tomiris
dc.date.accessioned2024-06-05T07:25:50Z
dc.date.available2024-06-05T07:25:50Z
dc.date.issued2024-04-15
dc.description.abstractThe purpose of the study was to investigate the finite-time stability and output feedback finite-time passification of fractional order uncertain neural networks with time-varying delay. We derived conditions for finite-time boundedness and finite-time passivity using linear matrix inequality, Lyapunov functional, and Schur complement Lemma we reached finite-time stability of the system. Certainly derivation and integration for fractional order calculus, that we used for neural network system, differs from conventional integer order calculus, by its hereditary characteristics. The findings have substantial implications for the design and control of complex neural network systems, paving the way for improved robustness and reliability in real-world applications.en_US
dc.identifier.citationSerikova, T. (2024). Finite-Time Output-Feedback Passification Of Uncertain Fractional-Order Neural Networks Having Time-Varying Delays. Nazarbayev University School of Sciences and Humanitiesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7747
dc.language.isoenen_US
dc.publisherNazarbayev University School of Sciences and Humanitiesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of Access: Embargoen_US
dc.subjectfractional order neural networksen_US
dc.titleFINITE-TIME OUTPUT-FEEDBACK PASSIFICATION OF UNCERTAIN FRACTIONAL-ORDER NEURAL NETWORKS HAVING TIME-VARYING DELAYSen_US
dc.typeCapstone Projecten_US
workflow.import.sourcescience

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