Wheel Slip Regulation Using Fuzzy Spiking Neural Networks

Basit Öğe Kaydı
dc.authoridKaynak, Okyay/0000-0002-4789-6700|Oniz, Yesim/0000-0002-8337-7852
dc.authorwosidKaynak, Okyay/H-5942-2011
dc.contributor.authorOniz, Yesim
dc.contributor.authorKaynak, Okyay
dc.date.accessioned2024-07-18T20:54:20Z
dc.date.available2024-07-18T20:54:20Z
dc.date.issued2016
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.descriptionInternational Joint Conference on Neural Networks (IJCNN) -- JUL 24-29, 2016 -- Vancouver, CANADAen_US
dc.description.abstractIn this paper, a fuzzy spiking neural network structure is developed for the wheel slip regulation problem of an Antilock Braking System. Sliding mode control theory is utilized in the derivation of the update rules for the neural network's weights as well as the parameters of the fuzzy membership functions. Gaussian membership functions are used to convert the sensor readings into the neural networks inputs and the spike response model is employed to denote the effect of the incoming spikes on the postsynaptic membrane potential. The use of the Lyapunov stability method for the derivation of the parameter update rules leads to a stable system response even in the existence of external disturbances.en_US
dc.description.sponsorshipIEEE,IEEE Computat Intelligence Soc,Int Nueral Network Soc,Evolutionary Programming Soc,IET,IEEE BigData,Gulf Univ Sci & Technolen_US
dc.identifier.endpage1036en_US
dc.identifier.isbn978-1-5090-0619-9
dc.identifier.issn2161-4393
dc.identifier.scopus2-s2.0-85007174591en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1029en_US
dc.identifier.urihttps://hdl.handle.net/11411/8706
dc.identifier.wosWOS:000399925501028en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 International Joint Conference on Neural Networks (Ijcnn)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleWheel Slip Regulation Using Fuzzy Spiking Neural Networksen_US
dc.typeConference Objecten_US

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