Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/36879
Title: Adaptive Multivariable Fuzzy Logic controller
Authors: 國立臺灣師範大學機電工程學系
Yeh, Zong-Mu
Issue Date: 16-Feb-1997
Publisher: Elsevier
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.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/36879
ISSN: 0165-0114
Other Identifiers: ntnulib_tp_E0402_01_005
Appears in Collections:教師著作

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