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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    Title :

    Fuzzy logic consequent perturbation analysis for electric vehicles


    Contributors:
    Economou, J T (author) / Tsourdos, A (author) / White, B A (author)


    Publication date :

    2007-07-01


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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