A data‐driven optimization algorithm for differential algebraic equations with numerical infeasibilities-Reference-Cited by-同舟云学术

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

Published:2020-08-10 Issue:10 Volume:66 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J

Author:

Beykal Burcu¹²^ORCID,Onel Melis¹²,Onel Onur¹²³,Pistikopoulos Efstratios N.¹²^ORCID

Affiliation:

1. Artie McFerrin Department of Chemical Engineering Texas A&M University College Station Texas USA

2. Texas A&M Energy Institute, Texas A&M University College Station Texas USA

3. Department of Chemical and Biological Engineering Princeton University Princeton New Jersey USA

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16657

Reference41 articles.

1. BieglerLT.Optimization of differential‐algebraic equation systems;2000.https://www.lehigh.edu/~wes1/apci/26may00.pdf. Accessed Dec 18 2019.

2. DAEs in Model Reduction of Chemical Processes: An Overview

3. Process design and control optimization: A simultaneous approach by multi-parametric programming

4. Modelling and dynamic optimization of thermal cracking of propane for ethylene manufacturing

5. A software environment for simultaneous dynamic optimization

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