Fuzzy identification of systems and its applications to modeling and control

1985/01/01 by Tomohiro Takagi, Michio Sugeno · 63 citations
Computer Science · Engineering · #Fuzzy Logic and Control Systems #Neural Networks and Applications #Fault Detection and Control Systems

paper · doi: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.

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