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Concrete damaged plasticity model and macro modeling approach are adopted in this simulation.
The advantages of this modeling approach are numerous: (i) closed-form expressions of ODEs, (ii) accurate modeling of the time series data by using spline regression and by integrating differential equations, and (iii) model learning involving simple regressions quick to compute and only a few parameters have to be estimated.
Forces obtained with this modeling approach are in good agreement with those produced by other models.
The parameters used in the graph modeling approach are listed in Table1.
Some examples illustrating the importance of selecting the proper modeling approach are also provided.
Both potentiality and limitation of the linear modeling approach are discussed.
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The system nonlinear mathematical model, derived using Lagrangian modeling approach, is simulated in MATLAB/Simulink® environment.
They show that this joint modeling approach is better than independent modeling in terms of predictive performance.
Such a modeling approach is particularly accurate for modeling oscillatory biological behaviors like those observed in the Drosophila circadian cycles.
Our modeling approach is to couple a ventricular model and a compatible Purkinje model.
The applicability of our modeling approach is not restricted to the modeling of Th17 cell differentiation.
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