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The framework features (i) a detailed dynamic process model, (ii) a reduced order approximating model obtained by performing dynamic simulations of the system and (iii) the design of an explicit/multi-parametric model predictive controller.
The KLD is defined as the distance of two continuous functions; it is a measure between reality distribution p and approximating model q.
Good adequacy can ensure that the approximating model provides an adequate approximation to the real system; otherwise, it may give poor or misleading results (Korbahti and Rauf 2008).
Several methods of creating artificial data for training the approximating model were proposed and compared on different classification tasks.
The approximating model is denoted as g θ, where the subscript θ indicates the U-dimensional parameter vector, which in turn specifies the probability density function.
Four neural networks are used as an approximating model of the unknown nonlinear dynamic behavior of the boiler-turbine while another neural networks are decoupling and controller.
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We use approximating models of vanishing viscosity solution type for the construction.
In the scheme, a control law is designed based on the all-pole Padé approximated model.
Additionally the negative binomial model which included linearly approximated model effects (Eq. 8.51) was validated (Figure 4D).
We used deviance information criterion (DIC) to select the best approximating models from the candidate models [ 19].
We considered the residuals of the approximating Gaussian model provided by iterated extended Kalman smoothing.
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