Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Dominique Bonvin"'
Autor:
Heiner Ackermann, Simen Akkermans, Satyajith Amaran, Michael Amrhein, Norbert Asprion, Tilman Barz, Satyajeet Bhonsale, Lorenz T. Biegler, Filippo Bisotti, Dominique Bonvin, Michael Bortz, Mariano Nicolas Cruz Bournazou, Luisa C. Brée, Andreas Bulan, Jorge Diaz, Sebastian Engell, Gregor Foltin, Grégory François, Andrea Galeazzi, Francesco Gallo, Federico Galvanin, Jochen Gattermayer, Thomas Gerlach, Joachim Gross, Ignacio E. Grossmann, David Hajnal, Raoul Heese, Melanie Heidgen, Michael Helmling, Jesús D. Hernández, Christoph Herwig, Stefan Hoeser, Shachit S. Iyer, Julian Kager, Thomas Kochenburger, Stefan Lehner, Neele Leithäuser, Filip Logist, Jonas Mairhofer, Flavio Manenti, David C. Miller, Alexander Mitsos, Jan Mohring, Peter Neubauer, Philippe Nimmegeers, Chinedu O. Okoli, Luca Onofri, Hector D. Perez, Karen Perrey, Jürgen Rarey, Gianluca Rizzi, Kosan Roh, Miguel A. Romero-Valle, Jochen Schmid, Jan C. Schöneberger, Hergen Schultze, Daniel Staak, Ioanna Stamati, Philipp Süss, Dries Telen, Carlos Tellaeche, Jan F.M. Van Impe, John M. Wassick, Christian Weiß, Jarosław Wlazło
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9417d750dcb4f9162bbf0bb6cde4a18d
https://doi.org/10.1016/b978-0-323-85043-8.09991-8
https://doi.org/10.1016/b978-0-323-85043-8.09991-8
Autor:
Dominique Bonvin, Diogo Rodrigues
Publikováno v:
Optimal Control Applications and Methods. 41:292-311
This paper presents an input parameterization for dynamic optimization that allows reducing the number of decision variables compared to traditional direct methods. A small number of decision varia ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4e0729904455cd78fc1c7b7560ef7b8
https://doi.org/10.1002/oca.2543
https://doi.org/10.1002/oca.2543
Autor:
Bala Srinivasan, Dominique Bonvin
Publikováno v:
Industrial & Engineering Chemistry Research. 58:14227-14238
This paper addresses the steady-state optimization of continuous processes in the presence of uncertainty in the form of unknown or time-varying model parameters, structural plant-model mismatch, and disturbances. To address these issues, we assume t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47e6b7b7bd55f9e1364383a608fe41e1
https://doi.org/10.1021/acs.iecr.9b02327
https://doi.org/10.1021/acs.iecr.9b02327
Publikováno v:
Computers & Chemical Engineering. 122:152-171
For lumped homogeneous reaction systems, this paper presents a kinetic model identification scheme that provides maximum-likelihood parameter estimates and guarantees convergence to global optimality. The use of the extent-based incremental approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa8766b7325445540e315d21873dda92
https://doi.org/10.1016/j.compchemeng.2018.05.024
https://doi.org/10.1016/j.compchemeng.2018.05.024
Publikováno v:
Computers & Chemical Engineering. 121:285-293
In the context of real-time optimization, modifier-adaptation schemes update the model-based optimization problem by adding first-order correction terms to the cost and constraint functions of the optimization problem. This guarantees meeting the pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::010b468186d07e7f64615549d516af99
https://doi.org/10.1016/j.compchemeng.2018.09.028
https://doi.org/10.1016/j.compchemeng.2018.09.028
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
As a real-time optimization technique, modifier adaptation (MA) has gained much significance in recent years. This is mainly due to the fact that MA can deal explicitly with structural plant-model mismatch and unknown disturbances. MA is an iterative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecfa6c862010d55067757453561a5a44
https://pubs.acs.org/doi/abs/10.1021/acs.iecr.9b04501
https://pubs.acs.org/doi/abs/10.1021/acs.iecr.9b04501
Publikováno v:
Industrial & Engineering Chemistry Research. 57:10038-10048
Dynamic optimization plays an important role toward improving the operation of chemical systems, such as batch and semibatch processes. The preferred strategy to solve constrained nonlinear dynamic optimization problems is to use a so-called direct a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::846ad69ef10e10ddf750183335bfd649
https://doi.org/10.1021/acs.iecr.8b02109
https://doi.org/10.1021/acs.iecr.8b02109
Publikováno v:
Computers & Chemical Engineering. 114:296-305
Models of chemical reaction systems can be complex as they need to include information regarding the reactions and the mass and heat transfers. The commonly used state variables, namely, concentrations and temperatures, express the interplay between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e24a8bcbb4759a6d0a34092c31c0242c
https://doi.org/10.1016/j.compchemeng.2017.09.021
https://doi.org/10.1016/j.compchemeng.2017.09.021
Publikováno v:
Industrial & Engineering Chemistry Research. 57:3699-3716
Experimental assessment or prediction of plant steady state is important for many applications in the area of modeling and operation of continuous processes. For example, the iterative implementation of static real-time optimization requires reaching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b62d771b8400848b2f47bca68b83f80
https://doi.org/10.1021/acs.iecr.7b04631
https://doi.org/10.1021/acs.iecr.7b04631