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fuzzy sets and linguistic variables that contribute to the diagnosis of disease particularly diabetes. As we all know fuzzy logic is a computational paradigm that pro vides a tool based on mathematics which deals with un certainty. At the same time this paper also presents a computerbased Fuzzy Logic with maximum and mini
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by 85% compared to conventional PID control. This ... weighting factor of the fuzzy logic controller and to compute a suitable value for correct operation of the fuzzy logic controller. ... Density Ρ 103 kg/m3 Young modulus 200E 109 N/m2 2 ...
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Fuzzy Logic Control of the Syrup Mixing Process in Beverage Production . Philip Babatunde OSOFISAN . Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Lagos. tosofisan . Abstract. The mixing process plays a pivotal role in the beverage production because it determines the rate of production output.
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Fuzzy logic provides for the development of genetic algorithms, which are able to mimic part of the human reasoning. These methods are synthesized by creating a computer program based on rules created from this logic, the socalled fuzzy rulebased system.
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Improving power quality and stability of wind energy conversion system with fuzzycontrolled STATCOM ... on fuzzy logic approach are required for the STATCOM to provide adequate dynamic voltage ... is the air density in kg∕m3, ...
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for a controller which works perfectly for nonlinear trajectories. Fuzzy logic control is a nonlinear control technique which uses a linguistic approach for controlling, based on some sets of membership functions and rules. This project attempts to design a Fuzzy Logic
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• kg weight increase in adults, kg weight gain in adolescents • MARD % . ... • DreaMed MD Logic (Fuzzy Logic): incorporate automatic correction doses: bridge funding from NIH secured. This product will be called ... CGM and Closing the Loop
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involving fuzzy logic techniques centered around the use of GPS tracking as a means to control the vehicle steering, with autonomous vehicles being the ultimate goal. The work by Hessburg and Tomizuka [17] also used a fuzzy rulebased controller as a means for lateral control but there the intent was for use in an automated highway system.
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