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Most existing methodologies, which have validated their excellent control performance on the accurate mathematical model, face significant difficulties in the unavoidable model mismatches and disturbance.
Most existing methodologies use either Logical Effort (LE) theory or stand-alone optimization algorithms for automated transistor sizing of CMOS logic circuits.
However, most existing methodologies still rely heavily on empirical relationships for parameters such as slip velocity, especially for systems operating under turbulent conditions where there is wide difference in the reported results.
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Most existing optimization methodologies focus on weight and cost mainly due to the difficulties in predicting strength of composite materials.
Most of existing methodologies approach harmonic resonance in the referred problem through the inclusion of constraints in the optimization procedure with respect to the harmonic distortion indexes THD and IHD.
Although the idea of HKES and similar hybrid systems have already been applied in various fields, such as product design, engineering design, and system optimization, most of existing methodologies are limited by searching optimal design solutions using single-objective optimization (SOO), instead of multi-objective optimization (MOO).
Most existing research methodology relies on explanatory analysis to investigate factors determining car ownership, where the interrelationships among independent variables are unstated or underestimated.
Most existing agent-oriented methodologies ignore system extensibility, interoperability and reusability issues.
Most of the existing methodologies are domain specific and were proposed to solve specific problems in certain projects.
Most of the existing methodologies take some adjustment to deal with this problem but result in very complicated forms with less tractable distributional characteristics.
The small time scale model is different from most existing fatigue analysis methodologies and is based on the instantaneous crack growth kinetics within one cycle.
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