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Then, to meet these desired performance values, a method which presents a graphical relation between the required performance values and the parameters of the PI controller is given.
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Also, the graphical relations between predicted and observed data are shown in Fig. 1a, b, c, respectively.
Thus, a set of PI controllers which attain desired performances can be found using the graphical relations.
A frequently used approach to determine the relationships of nonlinear data is response curve analysis, which provides graphical relations between individual independent variables and the output variable (product concentration), assuming average values for the other input variables.
Our approach consists of transformation of graphical representation describing relation between input components of assembly node and numbers of related product configurations into design matrix of coupled design.
A graphical representation of relation between P f and P f f and the index classes (i.e. index values) is depicted in Fig. 3. To accommodate uncertainty in floating point computations and to allow the user to loosen the requirements for the interior cells, we introduce the interior limit i l and optionally use the following condition: lvert P_{f} - 1 rvert < i_{l}.
The FCA largely recapitulated observations based on nuclear differentiation and allowed a graphical illustration of relations among groups of parasitoids as defined in Table S3 [Additional file 5].
Until recently, the explicit consideration of variation in relation to graphical representations has not been a feature of research.
Also, we discuss the relation between (graphical) EGT-based information diffusion analysis and the epidemics-based information diffusion modeling and analysis that is frequently applied in the literature.
For continuous variables, we checked for the shape of the relation using graphical smoothing techniques.
We evaluated models for linear regression assumptions and the presence of outlying points using added variable plots (Weisberg 1985), which are graphical summaries of the relation between Y and a particular X (referred to as X a below), adjusted for all of the other covariates.
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