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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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| Udgivet i: | AIChE J |
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| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2020
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| Fag: | |
| Online adgang: | 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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