Guaranteed accurate fuzzy controllers for monotone functions

Abstract In this work, a general purpose fuzzy controller which allows the fuzzy set ZE to be used anywhere in decision tables is proposed to handle the class of monotone functions. For guaranteed convergence and accuracy, the rules on the selection of fuzzy sets based on the defuzzification method mean-of-inversion (MOI) are given are proved. Such a guideline can relieve the users' burden on testing accuracy after design. In addition, these imposed restrictions on the selection of fuzzy sets are not unusual in the design of fuzzy controllers. Thus, the optimization on convergence speed is possible for the proposed fuzzy controller in various applications.

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