Handling Uncertainty in Controllers Using Type-2 Fuzzy Logic

In this paper, we show the advantages of using type-2 fuzzy logic in the design of controllers for real-world applications because of their inherent uncertainty. We support this statement with experimental results, qualitative observations, and quantitative measures of errors. For quantifying the errors, we utilized three widely accepted performance criteria, namely: Integral of Square Error (ISE), Integral of the Absolute value of the Error (IAE), and Integral of the Time multiplied by the Absolute value of the Error (ITAE).

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