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A sector nonlinearity method is first employed to model a nonlinear system.
Based on this model a nonlinear control design approach is performed applying the back-stepping methodology.
Based on the FEM model, a nonlinear observer is designed to estimate the cable configuration.
Based on a detailed mathematical model a nonlinear control strategy is developed.
Based on this model a nonlinear model predictive controller was designed showing good performance.
From this model a nonlinear model-based controller is derived as the core of the proposed control system.
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It should be noted that the mixed effect logit model is a nonlinear model, and the independent variables are categorical.
Unlike Nishizono (2010), who analyzed the thinning model as a nonlinear mixed-effects model, the model was fitted as a nonlinear population-average model.
We developed two models: a linear goal programming model and a nonlinear goal programming model.
Two homogenization approaches are used: a full-field finite-element model and a Beta-model (a nonlinear extension of the Kröner's uniform field model).
Considering the limitations of the four analyzed models, a nonlinear regression model was proposed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com