Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization-Reference-Cited by-同舟云学术

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Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization

Published:2018-06-17 Issue:30 Volume:57 Page:10038-10048
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Aydin Erdal¹²,Bonvin Dominique³,Sundmacher Kai¹⁴^ORCID

Affiliation:

1. Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106 Magdeburg, Germany

2. International Max Planck Research School (IMPRS) for Advanced Methods in Process and Systems Engineering, 39106 Magdeburg, Germany

3. Laboratoire d’Automatique, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland

4. Otto-von-Guericke University Magdeburg, Universitätplatz 2, 39106 Magdeburg, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b02109

Reference56 articles.

1. Dynamic optimization of constrained semi-batch processes using Pontryagin’s minimum principle—An effective quasi-Newton approach

2. Control and optimization of batch processes

3. Dynamic optimization of batch processes

4. NMPC using Pontryagin’s Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty

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