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Please use this identifier to cite or link to this item: https://doi.org/10.1109/FUZZY.2004.1375536
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dc.titleA type-2 fuzzy logic controller for the liquid-level process
dc.contributor.authorWu, D.
dc.contributor.authorTan, W.W.
dc.date.accessioned2014-06-19T02:57:00Z
dc.date.available2014-06-19T02:57:00Z
dc.date.issued2004
dc.identifier.citationWu, D.,Tan, W.W. (2004). A type-2 fuzzy logic controller for the liquid-level process. IEEE International Conference on Fuzzy Systems 2 : 953-958. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/FUZZY.2004.1375536" target="_blank">https://doi.org/10.1109/FUZZY.2004.1375536</a>
dc.identifier.isbn0780383532
dc.identifier.issn10987584
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69117
dc.description.abstractThis paper focuses on evolving type-2 fuzzy logic controllers (FLCs) genetically and examining whether they are better able to handle modelling uncertainties. The study is conducted by utilizing a type-2 FLC, evolved by a genetic algorithm (GA), to control a liquid-level process. A two stage strategy is employed to design the type-2 FLC. First, the parameters of a type-1 FLC are optimized using GA. Next, the footprint of uncertainty is evolved by blurring the fuzzy input set. Experimental results show that the type-2 FLC copes well with the complexity of the plant, and can handle the modelling uncertainty better than its type-1 counterpart.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/FUZZY.2004.1375536
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/FUZZY.2004.1375536
dc.description.sourcetitleIEEE International Conference on Fuzzy Systems
dc.description.volume2
dc.description.page953-958
dc.description.codenPIFSF
dc.identifier.isiutNOT_IN_WOS
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