On parametric t-norm-sum-gravity inference method for fuzzy logic control

The input-output parametric relationship of a class of fuzzy logic controllers (FLCs) using parametric t-norm-sum-gravity inference method is examined. The parametric t-norm of Dubois and Prade, which changes its characteristics by adjusting the parametric value /spl alpha/, is used respectively in calculating the firing level and output membership function of each control rule. The final input-output relation derived in this paper is concise enough to give users a more thorough insight about the FLC behavior. Because the behavior of the parametric t-norms can be modified by applying different parameter, the FLC using parametric t-norms equips the ability to adapt itself to diverse control requirements. This lessens the burden of the design engineers and at the same time makes the FLC more flexible.