An extended fuzzy logic controller (EFLC) based on interval fuzzy membership functions is proposed for a vehicle active suspension system. With the degree of uncertainty in fuzzy membership functions, interval fuzzy membership functions are self-generated to cover more general uncertainties which occur from understanding linguistic knowledge and fuzzy rules in typical fuzzy methods. A novel adaptive strategy is designed to self-tune the interval fuzzy inference and to deduce the crisp outputs with feedback structure. A simulation study on a half-vehicle active suspension system has demonstrated that the proposed EFLC outperforms a conventional fuzzy logic controller.
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