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Incremental fuzzy supervisory controller design for optimizing the injection molding process

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dc.contributor.author Vagelatos, GA en
dc.contributor.author Rigatos, GG en
dc.contributor.author Tzafestas, SG en
dc.date.accessioned 2014-03-01T01:16:38Z
dc.date.available 2014-03-01T01:16:38Z
dc.date.issued 2001 en
dc.identifier.issn 0957-4174 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/14137
dc.subject injection molding process en
dc.subject incremental fuzzy supervisory control en
dc.subject self-tuning systems en
dc.subject knowledge-based systems en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Operations Research & Management Science en
dc.title Incremental fuzzy supervisory controller design for optimizing the injection molding process en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0957-4174(00)00060-9 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0957-4174(00)00060-9 en
heal.language English en
heal.publicationDate 2001 en
heal.abstract In this paper a newly developed fuzzy supervisory control system for the injection molding process is presented. The system performs automatic tuning of the machine operating points and reduces the amount of human effort needed for a complete multi-objective optimization of the machine settings. The optimal tuning is facilitated by a priority policy based on the significance of defects. The experimental results obtained from the application of the proposed fuzzy control architecture to a real industrial environment were very encouraging. (C) 2001 Elsevier Science Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName EXPERT SYSTEMS WITH APPLICATIONS en
dc.identifier.doi 10.1016/S0957-4174(00)00060-9 en
dc.identifier.isi ISI:000167032400008 en
dc.identifier.volume 20 en
dc.identifier.issue 2 en
dc.identifier.spage 207 en
dc.identifier.epage 216 en


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