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Fuzzy Control Technique Based on Continuous T-norm and S-norm
基于连续可控T范数的模糊控制方法研究

Keywords: T,norm/S,norm,correlation coefficient,fuzzy control
T/S范数
,相关系数,模糊控制,遗传算法

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Abstract:

This paper proposes a new T-norm and S-norm, which can vary through Lukasiewicz operators, Probability operators, and Zadeh operators with a correlation coefficient \%h\% changing from -1 to 1.Then we present simplified operators for multi input AND and OR operators to be used in fuzzy logic controller, replacing the conventional MAX/MIN operators. We use genetic algorithm to decide the correlation coefficients. Simulation results show that our approach is better than the conventional fuzzy logic controller.

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