Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Carlos Mendez Blanco"'
Autor:
Sin Yong Teng, Leonardo Galvis, Carlos Mendez Blanco, Leyla Özkan, Ruud Barendse, Geert Postma, Jeroen Jansen
Publikováno v:
Journal of Cleaner Production, 382:135168. Elsevier
Journal of Cleaner Production, 382, 1-14
Journal of Cleaner Production, 382, pp. 1-14
Journal of Cleaner Production, 382, 1-14
Journal of Cleaner Production, 382, pp. 1-14
Batch or semi-batch chemical reaction units often requires multiple operational phases to convert reactants to valuable products. In various chemical production facilities, the switching decision of such operational phases has to be confirmed and reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3140de6c801e91748df0cdaf2cd2acb
https://research.tue.nl/nl/publications/3784061e-9b24-4837-8d15-7bd1b45d81dd
https://research.tue.nl/nl/publications/3784061e-9b24-4837-8d15-7bd1b45d81dd
Autor:
Carlos Mendez-Blanco, Leyla Özkan
Publikováno v:
IFAC-PapersOnLine. 54(3):415-420
The use of first-principle models is motivated by the potential of detailed information available as well as their versatility. Therefore, it is important to keep these models up to date so the models represent accurate enough the processes at hand.
Publikováno v:
Computer Aided Chemical Engineering. 46:1279-1284
In this paper, we investigate the Max-Plus-Linear (MPL) representation for the integration of scheduling and control problem. This is an attractive approach because the MPL representation can result in a convex scheduling problem. Using this represen
Autor:
Carlos Mendez-Blanco, Leyla Özkan
Publikováno v:
CDC
59th IEEE Conference on Decision and Control (CDC 2020), 294-299
STARTPAGE=294;ENDPAGE=299;TITLE=59th IEEE Conference on Decision and Control (CDC 2020)
59th IEEE Conference on Decision and Control (CDC 2020), 294-299
STARTPAGE=294;ENDPAGE=299;TITLE=59th IEEE Conference on Decision and Control (CDC 2020)
In this paper structural identifiability of state space models, possibly nonlinear in parameters, is assessed by analyzing the controllability of the output sensitivities. Sensitivity analysis provides a mathematical setting to analyze parameter iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::143f6c62a98c521f74b78017ba4c8bd2
https://research.tue.nl/en/publications/dace4921-b873-453c-a3b9-209a521df3db
https://research.tue.nl/en/publications/dace4921-b873-453c-a3b9-209a521df3db
Publikováno v:
Industrial and Engineering Chemistry Research, 59(6), 2242-2251. American Chemical Society
In this paper, a model predictive control (MPC) strategy for nonlinear homogeneous reaction systems is proposed. The nonlinear system is first transformed to a linear parameter varying (LPV) system by means of a linear transformation known as extents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af21a195a2c7fd1b316ed49fe948642d
https://research.tue.nl/nl/publications/aab2ffcb-317d-4726-9c07-5d75bffe5b05
https://research.tue.nl/nl/publications/aab2ffcb-317d-4726-9c07-5d75bffe5b05
Publikováno v:
IFAC-PapersOnLine. 51(18):548-553
This paper proposes the use of the extent decomposition on homogeneous reaction systems for control purposes. The decomposition results in a Linear Parameter-Varying (LPV) representation, upon which parametric feedback and feedforward strategies are