A Systematic Approach for Design of Multistage Fuzzy 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.contributor.authorLi, Kuei-Hsiangen_US
dc.date.accessioned2014-10-30T09:36:10Z
dc.date.available2014-10-30T09:36:10Z
dc.date.issued2004-04-16zh_TW
dc.description.abstractThis paper proposes a systematic approach for designing a multistage fuzzy logic controller (MFLC) for large scale nonlinear systems. In designing such a controller, the major tasks are to derive fuzzy rule bases, determine membership functions of input/output variables, and design input/output scaling factors. In this work, the fuzzy rule bases are generated by rule-generated functions which are 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 optimized from a genetic algorithm based on a fitness function. As a result, the search space of the parameters is narrowed down to a small space so that the MFLC can be quickly constructed and the fuzzy rules and scaling factors can easily be determined. The performance of the proposed approach is examined by computer simulations on an inverted pendulum system. The performance of single stage structure, binary tree structure and skew-binary tree structure are compared. The binary tree structure has better performance and use fewer fuzzy rules in the illustrative example.en_US
dc.description.urihttp://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V05-48R1N94-2-2&_cdi=5637&_user=1227126&_pii=S0165011403002033&_origin=search&_coverDate=04%2F16%2F2004&_sk=998569997&view=c&wchp=dGLzVzz-zSkzS&md5=01aaabf8b12fc057db3a2664222e1a1c&ie=/sdarticle.pdfzh_TW
dc.identifierntnulib_tp_E0402_01_011zh_TW
dc.identifier.issn0165-0114zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36885
dc.languageenzh_TW
dc.publisherElsevieren_US
dc.relationInternational Journal of Fuzzy Sets and Systems, 143(2), 251-273. (SCI)en_US
dc.relation.urihttp://dx.doi.org/10.1016/S0165-0114(03)00203-3zh_TW
dc.rights.urihttp://www.elsevier.com/wps/find/homepage.cws_homezh_TW
dc.subject.otherFuzzy controlen_US
dc.subject.otherMultistage fuzzy systemsen_US
dc.subject.otherGenetic algorithmen_US
dc.titleA Systematic Approach for Design of Multistage Fuzzy Control Systemsen_US

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