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Carmen Del Vecchio
Carmen Del Vecchio
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Titel
Zitiert von
Zitiert von
Jahr
A robust optimization approach to energy hub management
A Parisio, C Del Vecchio, A Vaccaro
International Journal of Electrical Power & Energy Systems 42 (1), 98-104, 2012
3432012
Model predictive control-based optimal operations of district heating system with thermal energy storage and flexible loads
F Verrilli, S Srinivasan, G Gambino, M Canelli, M Himanka, C Del Vecchio, ...
IEEE Transactions on Automation Science and Engineering 14 (2), 547-557, 2016
1552016
Feedback stabilization control design for switched Boolean control networks
A Yerudkar, C Del Vecchio, L Glielmo
Automatica 116, 108934, 2020
622020
Reinforcement learning approach to feedback stabilization problem of probabilistic Boolean control networks
A Acernese, A Yerudkar, L Glielmo, C Del Vecchio
IEEE Control Systems Letters 5 (1), 337-342, 2020
612020
Auto-regulation of secretory flux by sensing and responding to the folded cargo protein load in the endoplasmic reticulum
A Subramanian, A Capalbo, NR Iyengar, R Rizzo, A di Campli, ...
Cell 176 (6), 1461-1476. e23, 2019
602019
Game theoretic approach for a service function chain routing in NFV with coupled constraints
S Le, Y Wu, Y Guo, C Del Vecchio
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (12), 3557-3561, 2021
582021
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes
M Mazzoleni, K Sarda, A Acernese, L Russo, L Manfredi, L Glielmo, ...
Engineering Applications of Artificial Intelligence 115, 105317, 2022
462022
Robust optimization of operations in energy hub
A Parisio, C Del Vecchio, G Velotto
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
442011
Output tracking control design of switched Boolean control networks
A Yerudkar, C Del Vecchio, L Glielmo
IEEE Control Systems Letters 4 (2), 355-360, 2019
342019
Optimal operation of a district heating power plant with thermal energy storage
G Gambino, F Verrilli, M Canelli, A Russo, M Himanka, M Sasso, ...
2016 American Control Conference (ACC), 2334-2339, 2016
282016
A multi-step anomaly detection strategy based on robust distances for the steel industry
K Sarda, A Acernese, V Nolè, L Manfredi, L Greco, L Glielmo, ...
IEEE Access 9, 53827-53837, 2021
262021
Model-free self-triggered control co-design for probabilistic Boolean control networks
A Acernese, A Yerudkar, L Glielmo, C Del Vecchio
IEEE Control Systems Letters 5 (5), 1639-1644, 2020
262020
Demand Side Management for heating controls in Microgrids
F Verrilli, G Gambino, S Srinivasan, G Palmieri, C Del Vecchio, L Glielmo
IFAC-PapersOnLine 49 (1), 611-616, 2016
262016
Condition-based maintenance: an industrial application on rotary machines
A Acernese, C Del Vecchio, M Tipaldi, N Battilani, L Glielmo
Journal of Quality in Maintenance Engineering 27 (4), 565-585, 2021
242021
Disturbance decoupling control design for Boolean control networks: A Boolean algebra approach
K Sarda, A Yerudkar, CD Vecchio
IET Control Theory & Applications 14 (16), 2339-2347, 2020
232020
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks
LGCDV A. Acernese, A. Yerudkar
IEEE Access 8, 199254-199265, 2020
232020
Model predictive control for optimization of combined heat and electric power microgrid
G Gambino, F Verrilli, D Meola, M Himanka, G Palmieri, C Del Vecchio, ...
IFAC Proceedings Volumes 47 (3), 2201-2206, 2014
212014
Self-triggered control of probabilistic Boolean control networks: A reinforcement learning approach
P Bajaria, A Yerudkar, L Glielmo, C Del Vecchio, Y Wu
Journal of the Franklin Institute 359 (12), 6173-6195, 2022
202022
Support Vector Representation Machine for superalloy investment casting optimization
C Del Vecchio, G Fenu, FA Pellegrino, M Di Foggia, M Quatrale, ...
Applied Mathematical Modelling 72, 324-336, 2019
202019
Sampled-data control of probabilistic boolean control networks: A deep reinforcement learning approach
A Yerudkar, E Chatzaroulas, C Del Vecchio, S Moschoyiannis
Information Sciences 619, 374-389, 2023
192023
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