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A nominal model for the macroscopic properties of linear STFs is devised from nanoscopic considerations.
Data from identification testing using these signals is the basis for the subsequent steps of frequency-response estimation and control-relevant parameter estimation, with the final result being a discrete-time state-space model that serves as the nominal model for Model Predictive Control.
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Ordinal models could have potentially been fitted for the ordinal outcomes BMI group and physical activity level however to facilitate comparison across the three outcomes of interest we chose to fit nominal models for all three outcome variables.
The control-oriented model is comprised by the nominal model of the true plant and for its uncertainty region bounded by the true plant models under low and high operating discharge regimes (limit operating models).
A nominal model of the process based on population balancing is utilized for this purpose.
A sensitivity analysis using nominal model parameters for B[a]P indicated that the background concentration in air, air residence time, vapor pressure, log Kow, emission rate, and degradation half-life (in fish) were the most influential input parameters.
GOM Inspect was utilised to build nominal models of the holes for the comparison purpose.
Fulfillment of performance specification is guaranteed for the nominal model as well as for the worst-case one.
The problem is more involved if uncertainties are also present and a computational tractable nominal model is needed for the design.
One is the global sliding mode controller for practical plant, the other is the integral backstepping controller for nominal model.
The first two columns show the distribution of the prediction error (normalized root mean square error) for the nominal model (known only in synthetic problems and used only for reference) and for the model calibrated without regularization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com