Title :
Fuzzy identification of systems and its applications to modeling and control
Author :
Takagi, Tomohiro ; Sugeno, Michio
Author_Institution :
Dept. of Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented. The premise of an implication is the description of fuzzy subspace of inputs and its consequence is a linear input-output relation. The method of identification of a system using its input-output data is then shown. Two applications of the method to industrial processes are also discussed: a water cleaning process and a converter in a steel-making process.
Keywords :
fuzzy set theory; identification; process control; system theory; fuzzy identification; fuzzy model; industrial process control; input-output data; modelling; steel-making process; systems identification; water cleaning process; Cognition; Data models; Fuzzy sets; Mathematical model; Parameter estimation; Performance analysis; Vectors;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1985.6313399
