A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty-Reference-Cited by-同舟云学术

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A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty

Published:2021-12 Issue: Volume:425 Page:131632
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Shokry Ahmed^ORCID,Medina-González Sergio,Baraldi Piero,Zio Enrico,Moulines Eric,Espuña Antonio

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference63 articles.

1. The Explicit Linear Quadratic Regulator for Constrained Systems;Bemporad;Automatica,2002

2. Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes;Biegler,2010

3. Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes;Biegler,2010

4. An algorithm for the use of surrogate models in modular flowsheet optimization;Caballero;AIChE J.,2008

5. Real Time Optimization of Chemical Processes;Chaudhary,2009

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