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dc.contributor.authorWu, Bing-Feien_US
dc.contributor.authorMa, Li-Shanen_US
dc.contributor.authorPerng, Jau-Woeien_US
dc.contributor.authorLee, Tsu-Tianen_US
dc.date.accessioned2014-12-08T15:12:48Z-
dc.date.available2014-12-08T15:12:48Z-
dc.date.issued2007en_US
dc.identifier.isbn978-1-4244-0972-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/9856-
dc.description.abstractIn this paper, the PID type single-input fuzzy logic controller (SFLC) is proposed by modified from PD type SFLC. By proposed structure, the steady error from PD type SFLC can be improved. Furthermore, the optimal control performance can be achieved by tuning membership function and gain parameter with genetic algorithm (GA). The simulation results show the proposed structure has better performance by comparing with GA PID and Ziegler-Nichols PID approaches.en_US
dc.language.isoen_USen_US
dc.subjectfuzzy logic controlleren_US
dc.subjectoptimal controlen_US
dc.subjectPID type controlleren_US
dc.subjectsingle input fuzzy logic controller (SFLC)en_US
dc.subjectgenetic algorithm (GA)en_US
dc.titleOptimal signgle-input PID type fuzzy logic controller design with genetic algorithmen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7en_US
dc.citation.spage2000en_US
dc.citation.epage2004en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000251433403032-
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