Study on TCP/AQM network congestion with adaptive neural network and barrier Lyapunov function

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dc.authoridhttps://orcid.org/0000-0001-8766-6742en_US
dc.contributor.authorWang, Kun
dc.contributor.authorLiu, Yang
dc.contributor.authorLiu, Xiaoping
dc.contributor.authorJing, Yuanwei
dc.contributor.authorDimirovski, Georgi M.
dc.date.accessioned2019-11-11T22:04:19Z
dc.date.available2019-11-11T22:04:19Z
dc.date.issued2019en_US
dc.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Kontrol ve Otomasyon Mühendisliği Bölümüen_US
dc.descriptionDimirovski, Georgi M. (Dogus Author)en_US
dc.description.abstractA novel network congestion algorithm is introduced for Transmission Control Protocol/Active Queue Management (TCP/AQM) system in this paper. The established TCP/AQM system is more accurate and general. Moreover, an adaptive congestion controller is designed by virtue of the Barrier Lyapunov Function (BLF), backstepping-like and Neural Networks (NNs) approximation techniques, by which the transient and steady-state performances on the tracking error can be pre-given and other signals of the closed-loop system also are verified to be semi-globally, uniformly and ultimately bounded. Finally, a comparison example is considered to demonstrate the feasibility and superiority of the presented scheme.en_US
dc.identifier.citationWang, K., Liu, Y., Liu, X., Jing, Y., Dimirovski, G. M. (2019). Study on TCP/AQM network congestion with adaptive neural network and barrier Lyapunov function. Neurocomputing, 363, 27-34. https://doi.org/10.1016/j.neucom.2019.08.024.en_US
dc.identifier.doi10.1016/j.neucom.2019.08.024en_US
dc.identifier.endpage34en_US
dc.identifier.issn0925-2312
dc.identifier.issn1872-8286
dc.identifier.other000484005300004 (WOS)
dc.identifier.startpage27en_US
dc.identifier.urihttps://doi.org/10.1016/j.neucom.2019.08.024
dc.identifier.urihttps://hdl.handle.net/11376/3403
dc.identifier.volume363en_US
dc.institutionauthorDimirovski, Georgi M.
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofNeurocomputingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectTCP/AQM Networken_US
dc.subjectCongestion Controlen_US
dc.subjectBarrier Lyapunov Functionen_US
dc.subjectAdaptive NN Controlen_US
dc.subjectActive Queue Managementen_US
dc.subjectFeedback Nonlinear-Systemsen_US
dc.subjectDynamic Surface Controlen_US
dc.subjectPrescribed Performanceen_US
dc.subjectTracking Controlen_US
dc.subjectAQMen_US
dc.subjectDisturbancesen_US
dc.subjectControlleren_US
dc.subjectStabilityen_US
dc.subjectDesignen_US
dc.titleStudy on TCP/AQM network congestion with adaptive neural network and barrier Lyapunov functionen_US
dc.typearticleen_US

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