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.
Fuzzy logic consequent perturbation analysis for electric vehicles
01.07.2007
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Fuzzy logic consequent perturbation analysis for electric vehicles
Online Contents | 2007
|Fuzzy logic consequent perturbation analysis for electric vehicle
Kraftfahrwesen | 2007
|FUZZY LOGIC BASED TRACTION CONTROL FOR ELECTRIC VEHICLES
Europäisches Patentamt | 2021
|Fuzzy logic based traction control for electric vehicles
Europäisches Patentamt | 2022
|