Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3493
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dc.creatorBaturone, I.-
dc.creatorMoreno Velo, Francisco José-
dc.creatorSánchez-Solano, Santiago-
dc.creatorMartín de Agar, R.-
dc.creatorOllero, A.-
dc.date2008-04-09T18:27:59Z-
dc.date2008-04-09T18:27:59Z-
dc.date2002-11-
dc.date.accessioned2017-01-31T01:01:40Z-
dc.date.available2017-01-31T01:01:40Z-
dc.identifierProceedings 28th Annual Conference of the IEEE Industrial Electronics Society: 2457-2462 (2002)-
dc.identifierhttp://hdl.handle.net/10261/3493-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/3493-
dc.descriptionThis paper describes the design and implementation of a fuzzy controller for autonomous mobile robots. The tool Xfuzzy 3.0, developed at the IMSE (Instituto de Microelectrónica de Sevilla) has been used to design a controller for the Romeo 4R autonomous vehicle designed and built at the "Escuela Superior de Ingenieros", University of Seville. The paper presents the design of the controller and real experiments with Romeo 4R demonstrating the efficiency of the controller.-
dc.descriptionThis work has been partially supported by the Spanish CICYT Projects TAP99-0926-C04-01 and TIC2001-1726.-
dc.descriptionPeer reviewed-
dc.format199252 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.rightsopenAccess-
dc.subjectFuzzy controllers-
dc.subjectAutonomous mobile robots-
dc.subjectXfuzzy-
dc.subjectRomeo 4R autonomous vehicle-
dc.titleAutomatic design of fuzzy control systems for autonomous mobile robots-
dc.typeComunicación de congreso-
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