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dc.creatorĆirović, Velimir
dc.creatorAleksendrić, Dragan
dc.creatorJakovljević, Živana
dc.date.accessioned2023-03-05T14:28:39Z
dc.date.available2023-03-05T14:28:39Z
dc.date.issued2012
dc.identifier.isbn978-961-6536-61-5
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/5186
dc.description.abstractComputer simulations take an important place in the engineering development of innovative control strategies of vehicle braking systems. The simulations are often used to study and analyze the design and operation of various conceptual solutions of braking systems for determination of a near optimal configurations and performance. In addition, complex and continuously increasing technological demands related to vehicles’ safety and stability issues indicate that design and operation of their braking systems should be constantly improved by developing new and intelligent solutions. Adequate simulation platforms for developing of braking systems with intelligent abilities could be very helpful in analysis of such designed conceptual solutions and verification of the selected control strategies. That is why, a simulation model of intelligent braking system has been proposed in this paper using Matlab/Simulink. It is done in order to simulate the different braking situations and predict the braking system performance versus driver’s demands, vehicle load conditions and actual braking regimes.sr
dc.language.isoensr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35045/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35030/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35007/RS//sr
dc.rightsclosedAccesssr
dc.sourceInnovative Automotive Technology – IAT 2012, Proceedingssr
dc.subjectsimulationsr
dc.subjectbraking systemsr
dc.subjectartificial intelligencesr
dc.subjectneural networkssr
dc.titleSimulation Platform for Intelligent Braking System Developmentsr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.citation.epage42
dc.citation.rankM33
dc.citation.spage35
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_5186
dc.type.versiondraftsr


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