Mar 12, 2020 · Abstract: Performing a specific experiment to collect data to tune a controller's parameters can be a very costly and undesirable task, ...
Dec 1, 2019 · Performing a specific experiment to collect data to tune a controller’s parameters can be a very costly and undesirable task, ...
A Monte Carlo simulation example is provided in order to illustrate the benefits of selecting the best data subsets — instead of using all available data ...
Examples are presented illustrating some ambiguities associated with the application of ARMA models to problems of signal extraction, multistep-ahead ...
Abstract: Estimating the controller's parameters using a data-driven method usually requires to collect data from a specific experiment, which can be a very ...
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Extraction of informative subsets from routine operating data for use in data-driven control · CS Garcia, AS Bazanella.
Extraction of informative subsets from routine operating data for use in data-driven control * ... Data quality assessment of routine operating data for ...
Traditional, Non-Dynamic, Data subsetting is a technique used to extract a subset or portion of a larger dataset for the purpose of testing or analysis. Instead ...
Nov 21, 2024 · We describe an algorithmic framework for identifying subgroups with potential performance disparities (AFISP), which produces a set of interpretable phenotypes.
Data-Driven Process System Engineering–Contributions to its ...
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This article aims to contribute to the systematization and consolidation of this field in the broad PSE scope, starting from a fundamental understanding of the ...