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A data-driven optimization algorithm for differential algebraic equations with numerical infeasibilities

Support Vector Machines (SVMs) based optimization framework is presented for the data-driven optimization of numerically infeasible Differential Algebraic Equations (DAEs) without the full discretization of the underlying first-principles model. By formulating the stability constraint of the numeric...

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Detalhes bibliográficos
Publicado no:AIChE J
Main Authors: Beykal, Burcu, Onel, Melis, Onel, Onur, Pistikopoulos, Efstratios N.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7485937/
https://ncbi.nlm.nih.gov/pubmed/32921798
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/aic.16657
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