Representation of Siso Fuzzy Logic Control Systems within Nlq Theory
نویسنده
چکیده
Since Zadeh [21] introduced Fuzzy Sets, many discussions have taken place whether Fuzzy Logic (FL) deserves a place in control theory. Three properties speak in favour of FL control. The first being its robustness against parameter uncertainty [3] [12], the second the fact that the FL controller output is normalized. While linear PID controllers assume that the controller output can be much larger than the true maximal input for a system, Fuzzy Logic Controllers (FLC) by nature restrict the controller value to a normalized interval. The third property in favor of FLC is the “linguistic” interpretation of the control scheme [9].
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