Adaptive Multivariable Fuzzy Logic controller

dc.contributor 國立臺灣師範大學機電工程學系 zh_tw Yeh, Zong-Mu en_US 2014-10-30T09:36:09Z 2014-10-30T09:36:09Z 1997-02-16 zh_TW
dc.description.abstract This paper presents a systematic methodology to the design of a multivariable fuzzy logic controller (MFLC) for large-scale nonlinear systems. A new general method which is based on a performance index of sliding motion is used to generate a fuzzy control rule base. Reducible input variables obtained from sliding motion are adopted as input variable of the fuzzy controller and the output scale factors of the MFLC are tuned by the switching variable. Thus, the determination of the input/output scale factors becomes easier and the system performance is significantly improved. The simulation results of a Puma 560 system and a two-inverted pendulum system demonstrate that the attractive features of this proposed approach include a smaller residual error and robustness against nonlinear interactions. en_US
dc.description.uri zh_TW
dc.identifier ntnulib_tp_E0402_01_005 zh_TW
dc.identifier.issn 0165-0114 zh_TW
dc.language en zh_TW
dc.publisher Elsevier en_US
dc.relation International Journal of Fuzzy Sets and Systems, 86, 43-60. (SCI) en_US
dc.relation.uri zh_TW
dc.rights.uri zh_TW
dc.subject.other Fuzzy control en_US
dc.subject.other Sliding mode en_US
dc.subject.other Learning algorithm en_US
dc.subject.other Adaptive control en_US
dc.title Adaptive Multivariable Fuzzy Logic controller en_US