This paper presents a methodology for the estimation of upper and lower bounds due to sensor errors for the class of fuzzy Sugeno systems with linear consequent polynomials. The proposed method was also applied to the electrical permanent magnet actuator of an electric vehicle in order to demonstrate its effectiveness. Fuzzy logic Sugeno modelling approaches mainly concentrate on inserting uncertainty in the fuzzy antecedent. In this paper the focus is on perturbations in the consequent polynomial parameters for every possible rule.
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