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Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic

Roberto Sepúlveda^{a b}, Oscar Castillo^{c d}, Patricia Melín^{c d}✉, Antonio Rodríguez-Díaz^{e f}, Oscar Montiel^{a b}

^aCITEDI-IPN, Av. del Parque #1310, Mesa de Otay Tijuana, B.C., Mexico
^bCITEDI-IPN, Av. del Parque #1310, Mesa de Otay Tijuana, B.C., Mexico#TAB#
^cDepartment of Computer Science, Tijuana Institute of Technology, Tijuana, B.C., Mexico
^dDepartment of Computer Science, Tijuana Institute of Technology, Tijuana, B.C., Mexico#TAB#
^eFCQI-UABC, Tijuana, B.C., Mexico
^fFCQI-UABC, Tijuana, B.C., Mexico#TAB#
✉Corresponding author

Information Sciences Elsevier BV2006-11-22 258 citations48 references

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TL;DRThis paper deals with the design of control systems using type-2 fuzzy logic for minimizing the effects of uncertainty produced by the instrumentation elements, environmental noise, etc. (Semantic Scholar)

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Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic

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