A novel interval type-2 fuzzy controller architecture is proposed for resolving nonlinear control problems of vehicle active suspension systems. It integrates Takagi-Sugeno (T-S) fuzzy model, interval type-2 fuzzy reasoning, the Wu-Mendel uncertainty bounds method, and selected optimization algorithms in order to construct the switching routes between generated linear model control surfaces. The stability analysis of the proposed approach is presented. The proposed method is implemented into a numerical example and a case study on a nonlinear half-vehicle active suspension system. The simulation results demonstrate the effectiveness and efficiency of the proposed approach.
An interval type-2 fuzzy controller for vehicle active suspension systems, Page 1 of 2
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