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NMPC using Pontryagin's Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty
2018
Computers and Chemical Engineering
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The resulting NMPC algorithm is applied to a two-phase semi-batch reactor for the hydroformylation of 1-dodecene in the presence of uncertainty, and its performance is compared to that of NMPC that uses ...
Furthermore, the interplay between states and co-states in the context of Pontryagin's Minimum Principle might turn out to be computationally quite efficient. ...
Consider the semi-batch operation of hydroformylation in a two-phase stirred-tank reactor. ...
doi:10.1016/j.compchemeng.2017.08.010
fatcat:m75lkvlckzholbu2xndfmvidni
Tailored indirect algorithms for efficient on-line optimization of batch and semi-batch processes
[article]
2018
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Alternatively, indirect methods based on Pontryagin's Minimum Principle (PMP) could efficiently deal with the optimization of batch and semi-batch processes. ...
In addition, nonlinear model predictive control (NMPC) is an important tool for the real-time optimization of batch and semi-batch processes under uncertainty. ...
The application of sh-NMPC to a two-phase semi-batch hydroformylation reactor under uncertainty is investigated. ...
doi:10.25673/12290
fatcat:tqyiy6zx2nb43h6xrxoeuff6re