defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. the center of gravity method (cog) is one of the most accurate methods that so far been presented for defuzzification. in this paper, a simple algorithm is presented to generate triangular output membership functions in the mamdani method using the multiplier/divider circuit and...

Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...

Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...

Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...

in addition to increment of the vehicle sprung mass, the main physical effects of addition of cng tank to the vehicle are the longitudinal and height displacement of center of gravity, which have the most influences on the handling, braking, roll stability and spin stability of the vehicle. increment of cng tank mass to the sprung mass of the vehicle increases the vehicle under-steer gradient, ...

This paper presents a practical approach for defuzzification in digital hardware based fuzzy inference systems . The proposed scheme is a modified version of the center average defuzzifier where instead of using a division stage a piece-wise linear function is implemented to reduce computational time and hardware implementation area. Some simulation probes are presented in order to compare the ...

Mathematical modelling of the simplest Takagi−Sugeno fuzzy Two-Input Two-Output (TITO) Proportional-Integral/Proportional-Derivative (PI/PD) controller is presented in this paper. model PI/PD proposed using Algebraic Product (AP) t-norm, Bounded Sum (BS) t-co-norm and Center Gravity (CoG) defuzzifier. The inputs are fuzzified by sets having L <math id="mathml_M2"...

Current-mode CMOS implementations of a membership function circuit, min-max operators, and a defuzzifier circuit are proposed in this paper. The programmability of the proposed Gaussian-type function fuzzifier is achieved by varying the gate reference voltages and the sizes of transistors in the differential pairs. A closed-loop control scheme is employed between the fuzzifier and defuzzifier b...