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Next, according to the estimated system model an optimal off-line PID controller is optimally solved by also using the real-coded GA.
In a hierarchical optimization, in which the optimum obtained with a reduced model is used as a starting point for the optimization with the detailed model, an optimal design is found.
With the help of an identified Semi Markov Model, an optimal controller is designed and tested.
Based on the obtained dynamic model, an optimal controller is designed to minimize a quadratic cost function.
Based on the inhomogeneous image model, an optimal segmentation plane is derived in image domain to provide the optimal partition for every pixel.
Based on the proposed new model, an optimal unbiased filter is designed that minimizes the filtering error variance at each time-step.
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Using the adaptive model, an optimal-tuning PID control scheme is proposed to provide optimal PID parameters even in the case where the system dynamics are time variant.
Only, the ARMA model, with an optimal model order, can precisely describe the dynamic characteristics of power grids.
Thus, with the help of the developed simulation models, an optimal process parametrization for parallel turning operations can be determined.
A high NADH flux (47.03 mmol/gDW/h) yielded from NADPH by THD5 was also observed for modelling an optimal anaerobic growth of S. oneidensis MR-1 in a previous study [ 34].
We have obtained these results using simple regression models and an optimal auction model derived under a number of simplifying assumptions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com