A Systematic Method for Design of Multivariable Fuzzy Logic Control Systems

dc.contributor國立臺灣師範大學機電工程學系zh_tw
dc.contributor.authorYeh, Zong-Muen_US
dc.date.accessioned2014-10-30T09:36:10Z
dc.date.available2014-10-30T09:36:10Z
dc.date.issued1999-12-01zh_TW
dc.description.abstractThis paper proposes a systematic method to design a multivariable fuzzy logic controller for large-scale nonlinear systems. In designing a fuzzy logic controller, the major task is to determine fuzzy rule bases, membership functions of input/output variables, and input/output scaling factors. In this work, the fuzzy rule base is generated by a rule-generated function, which is based on the negative gradient of a system performance index; the membership functions of isosceles triangle of input/output variables are fixed in the same cardinality and only the input/output scaling factors are generated from a genetic algorithm based on a fitness function. As a result, the searching space of parameters is narrowed down to a small space, the multivariable fuzzy logic controller can quickly constructed, and the fuzzy rules and the scaling factors can easily be determined. The performance of the proposed method is examined by computer simulations on a Puma 560 system and a two-inverted pendulum system.en_US
dc.identifierntnulib_tp_E0402_01_009zh_TW
dc.identifier.issn1063-6706zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36883
dc.languageenzh_TW
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relationIEEE Transaction on Fuzzy Systems, 7(6), 741-752. (SCI)en_US
dc.relation.urihttp://dx.doi.org/10.1109/91.811245zh_TW
dc.rights.urihttp://www.ieee.org/index.htmlzh_TW
dc.titleA Systematic Method for Design of Multivariable Fuzzy Logic Control Systemsen_US

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