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

Erdal Aydin, Dominique Bonvin, Kai Sundmacher
2018 Computers and Chemical Engineering  
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]

Erdal Aydin, Universitäts- Und Landesbibliothek Sachsen-Anhalt, Martin-Luther Universität, Kai Sundmacher, Sebastian Sager
2018
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