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Andrea Cortinovis
Andrea Cortinovis
Scientist, ABB Corporate Research
Verified email at ch.abb.com
Title
Cited by
Cited by
Year
Model predictive anti-surge control of centrifugal compressors with variable-speed drives
A Cortinovis, D Pareschi, M Mercangoez, T Besselmann
IFAC Proceedings Volumes 45 (8), 251-256, 2012
732012
Recurrent neural network based MPC for process industries
N Lanzetti, YZ Lian, A Cortinovis, L Dominguez, M Mercangöz, C Jones
2019 18th European Control Conference (ECC), 1005-1010, 2019
672019
Experimental evaluation of MPC-based anti-surge and process control for electric driven centrifugal gas compressors
A Cortinovis, HJ Ferreau, D Lewandowski, M Mercangöz
Journal of process control 34, 13-25, 2015
522015
Load sharing optimization of parallel compressors
F Paparella, L Domínguez, A Cortinovis, M Mercangöz, D Pareschi, ...
2013 European Control Conference (ECC), 4059-4064, 2013
462013
Model predictive approaches for active surge control in centrifugal compressors
G Torrisi, S Grammatico, A Cortinovis, M Mercangöz, M Morari, RS Smith
IEEE Transactions on Control Systems Technology 25 (6), 1947-1960, 2017
452017
Nonlinear coal mill modeling and its application to model predictive control
A Cortinovis, M Mercangoez, T Mathur, J Poland, M Blaumann
Control Engineering Practice 21 (3), 308-320, 2013
442013
Online performance tracking and load sharing optimization for parallel operation of gas compressors
A Cortinovis, M Mercangöz, M Zovadelli, D Pareschi, A De Marco, ...
Computers & Chemical Engineering 88, 145-156, 2016
422016
Safe and efficient operation of centrifugal compressors using linearized MPC
A Cortinovis, HJ Ferreau, D Lewandowski, M Mercangöz
53rd IEEE Conference on Decision and Control, 3982-3987, 2014
352014
Real-time optimization of load sharing for gas compressors in the presence of uncertainty
P Milosavljevic, AG Marchetti, A Cortinovis, T Faulwasser, M Mercangöz, ...
Applied energy 272, 114883, 2020
292020
Increasing the robustness of large electric driven compressor systems during voltage dips
TJ Besselmann, A Cortinovis, AM Ditlefsen, M Mercangöz, H Fretheim, ...
IEEE Transactions on Industry Applications 54 (2), 1460-1468, 2017
212017
Optimal load sharing of parallel compressors via modifier adaptation
P Milosavljevic, A Cortinovis, AG Marchetti, T Faulwasser, M Mercangöz, ...
2016 IEEE Conference on Control Applications (CCA), 1488-1493, 2016
202016
Online adaptation of performance maps for centrifugal gas compressors
A Cortinovis, M Zovadelli, M Mercangöz, D Pareschi, A De Marco, ...
2014 European Control Conference (ECC), 1036-1041, 2014
172014
Load sharing optimization for parallel and serial compressor stations
S Kumar, A Cortinovis
2017 IEEE Conference on Control Technology and Applications (CCTA), 499-504, 2017
152017
Distributed model predictive control of centrifugal compressor systems
K Jones, A Cortinovis, M Mercangoez, HJ Ferreau
IFAC-PapersOnLine 50 (1), 10796-10801, 2017
152017
Dynamic time to surge computation for electric driven gas compressors during voltage dips
A Cortinovis, M Mercangöz, TO Stava, E Lunde
IFAC-PapersOnLine 49 (7), 949-954, 2016
112016
A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations
P Milosavljevic, R Schneider, A Cortinovis, T Faulwasser, D Bonvin
Computers & Chemical Engineering 115, 474-486, 2018
62018
Optimal load sharing for serial compressors via modifier adaptation
P Milosavljevic, A Cortinovis, R Schneider, T Faulwasser, M Mercangöz, ...
2018 European Control Conference (ECC), 2306-2311, 2018
62018
Autonomous process model identification using recurrent neural networks and hyperparameter optimization
M Mercangöz, A Cortinovis, S Schönborn
IFAC-PapersOnLine 53 (2), 11614-11619, 2020
42020
Enabling voltage dip ride-throughs of large electric driven gas compressors
A Cortinovis, M Mercangöz, T Besselmann, AM Ditlefsen, TO Stava, ...
Journal of Process Control 74, 76-87, 2019
42019
Support system for an operator
I Lymperopoulos, A Cortinovis, M Mercangoez
US Patent App. 16/857,234, 2020
32020
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