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Fuzzy identification of systems and its applications to modeling and control

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2 Author(s)
Takagi, T. ; Dept. of Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan ; Sugeno, M.

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.

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:SMC-15 ,  Issue: 1 )