Fuzzy logic controller with dynamic rule set

The authors present a control methodology that enables a fuzzy controller to watch its output and if necessary change the inference rules by iterative steps. They present the simulation results obtained with a classic fuzzy logic controller model that uses the max-min composition for the inference rule system and calculates a singleton from the fuzzy set of the output by means of the center of gravity method of H.-J. Zimmerman (1990). Then they present a fuzzy logic controller model with a dynamic rule set (FCD). The results of the simulation carried out with the new FCD are discussed and compared with those for the classic controller.<
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