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Fuzzy identification of systems and its applications to modeling and control

Tomohiro Takagi, Michio Sugeno

IEEE Transactions on Systems Man and Cybernetics · 1985 · 19,614 citations

doi.org/10.1109/tsmc.1985.6313399

Abstract

A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. 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.

Cite this paper

Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems Man and Cybernetics, SMC-15(1), 116–132. https://doi.org/10.1109/tsmc.1985.6313399

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