Sliding mode controller employing RBF-ANN for vehicle anti-lock braking system

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dc.contributor.authorMao, Yan E.
dc.contributor.authorStojanovski, Goran S.
dc.contributor.authorJing, Yuanwei
dc.contributor.authorStankovski, Mile J.
dc.contributor.authorDimirovski, Georgi M.
dc.date.accessioned2016-02-04T12:34:21Z
dc.date.available2016-02-04T12:34:21Z
dc.date.issued2011-09
dc.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Kontrol ve Otomasyon Mühendisliği Bölümüen_US
dc.descriptionDimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010) : Ohrid, Macedonia, 6 - 8 September 2010en_US
dc.description.abstractA sliding mode controller employing the RBF neural network is designed for the anti-lock braking system in automotive technology according to the requirement that the braking process must be fast and robust. The usual drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. Also the robustness of adaptive control system employing neural network is improved to some extent. Simulation investigation for scenario of vehicle activating brakes on dry road situation is carried out using Matlab/Simulink platform. Simulation results demonstrate both feasibility and effectiveness of the proposed ABS control scheme.en_US
dc.description.sponsorshipELEM, Repub. Macedonia Chamb. Certif. Archit. Certif. Eng.en_US
dc.identifier.citationMao, Y. E., Stojanovski, G. S., Jing, Y., Stankovski, M. J., & Dimirovski, G. M. (2010). Sliding mode controller employing RBF-ANN for vehicle anti-lock braking system. In 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC) (pp. T10-55- T10-60). Piscataway, NJ: IEEE. https://dx.doi.org/10.1109/EPEPEMC.2010.5606626en_US
dc.identifier.doi10.1109/EPEPEMC.2010.5606626
dc.identifier.endpageT10-60en_US
dc.identifier.isbn9781424478569
dc.identifier.other11613342 (INSPEC)
dc.identifier.other5606626 (Scopus)
dc.identifier.scopus2-s2.0-78650375373en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpageT10-55en_US
dc.identifier.urihttps://dx.doi.org/10.1109/EPEPEMC.2010.5606626
dc.identifier.urihttps://hdl.handle.net/11376/2373
dc.identifier.wosWOS:000319521600120en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDimirovski, Georgi M.
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutomotive Applicationen_US
dc.subjectAutomotive Componenten_US
dc.subjectAutomotive Electronicsen_US
dc.subjectControl Methods for Electrical Systemsen_US
dc.subjectEmerging Technologyen_US
dc.subjectNeural Networken_US
dc.subjectSliding Mode Controlen_US
dc.titleSliding mode controller employing RBF-ANN for vehicle anti-lock braking systemen_US
dc.typeConference Objecten_US

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