A simplified fuzzy multivariable structure in a manufacturing environment

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dc.contributor.author Kouatli, Issam M. en_US
dc.date.accessioned 2016-05-06T11:17:52Z en_US
dc.date.available 2016-05-06T11:17:52Z en_US
dc.date.copyright 1994 en_US
dc.date.issued 2016-05-06
dc.identifier.issn 0956-5515 en_US
dc.identifier.uri http://hdl.handle.net/10725/3693 en_US
dc.description.abstract Applications of fuzzy control to industrial processes are mainly of multivariable structure. Using the traditional Zadeh principle would require a multidimensional relation to be developed representing a fuzzy model of the system. Such a multidimensional relation would result in memory overload to most industrial computers. Moreover, it would result in a highly complex compositional rule of inference to achieve the final output(s) of the system. This paper proposes a new simplified technique that avoids such complexity as well as memory overload for multivariable structure. Section 2 describes the proposed simplified multivariable technique to avoid memory overload. Section 3 demonstrates these techniques in the form of a robotic welding example where the objective is to control the speed of a robotic arm following an irregular path of weld. The speed value is dependent on the cavity size and determined by the cavity width and cavity depth as inputs. Section 4 describes an experimental application of the technique applied to an industrial process in the manufacture of force transducers termed as the ‘cornering process’. This application is composed of a two-inputs-two-outputs system. en_US
dc.language.iso en en_US
dc.title A simplified fuzzy multivariable structure in a manufacturing environment en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOB en_US
dc.author.idnumber 200301034 en_US
dc.author.department Department of Information Technology and Operations Management (ITOM) en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Intelligent Manufacturing en_US
dc.journal.volume 5 en_US
dc.journal.issue 6 en_US
dc.article.pages 365-387 en_US
dc.keywords Fuzzy control en_US
dc.keywords Multivariable control en_US
dc.keywords Process control en_US
dc.keywords Industrial computers applications en_US
dc.keywords Human factors en_US
dc.identifier.doi http://dx.doi.org/10.1007/BF00123657 en_US
dc.identifier.ctation Kouatli, I. M. (1994). A simplified fuzzy multivariable structure in a manufacturing environment. Journal of intelligent Manufacturing, 5(6), 365-387. en_US
dc.author.email issam.kouatli@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.researchgate.net/profile/Issam_Kouatli/publication/226024175_A_simplified_fuzzy_multivariable_structure_in_a_manufacturing_environment/links/0912f5108bcad93031000000.pdf en_US

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