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However, formulations for integrated experiment design in nonlinear systems (iED-NMPC) remain scarce.
The calculation using the developed modeling work was validated through comparison with an integrated experiment.
This paper presents a stochastic predictive control approach with integrated experiment design for nonlinear systems with probabilistic modeling uncertainties.
Data collected from the integrated experiment, from simplified tests, and from modelling are put together, giving complementary information.
First, a formulation for the integration of experiment design in linear dynamic systems is extended to nonlinear dynamic systems resulting in an NMPC formulation with integrated experiment design.
The integrated experiment is used to investigate overall reactivity, whereas diffusion experiments coupled with modelling focused on the precipitation of silica in clay media.
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This Perspective explores the implications of this energy gap for computing the structures of naturally occurring biopolymers, designing proteins with new structures and functions, and optimally integrating experiment and computation in these endeavors.
Thus, if there are structural constraints on molecular organization, the model-convolution method better utilizes information gathered via fluorescence microscopy, and naturally integrates experiment and theory.
Whereas there is a wealth of methods published to analyze microarray data together with gene annotation, little has been done to integrate experiment annotation related to experimental protocols and sample description.
Her "Two Huts" integrates experiments with the body and the voice.
Our examples include and integrate experiments that fall into both the "behavioral" and "experimental economics" literatures in accounting.
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