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ORCIDAntonio Ferramosca
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2020 – today
- 2024
[j24]Marcelo Alves dos Santos
, Antonio Ferramosca, Guilherme Vianna Raffo:
Set-point tracking MPC with avoidance features. Autom. 159: 111390 (2024)- [c22]Leandro Pitturelli, Davide Previtali, Antonio Ferramosca, Fabio Previdi:
Towards energy-efficient shrink tunnels by means of Economic Model Predictive Control. CASE 2024: 39-44 - [i8]Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca:
CHoKI-based MPC for blood glucose regulation in Artificial Pancreas. CoRR abs/2401.17157 (2024) - [i7]Daniel Limón, Antonio Ferramosca, Ignacio Alvarado, Teodoro Alamo:
Model Predictive Control for setpoint tracking. CoRR abs/2403.02973 (2024) - [i6]Pablo Krupa, Johannes Köhler, Antonio Ferramosca, Ignacio Alvarado, Melanie N. Zeilinger, Teodoro Alamo, Daniel Limón:
Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. CoRR abs/2406.06157 (2024) - 2023
- [j23]Gabriela B. Cáceres, Antonio Ferramosca, Pablo Millán Gata, Mario Pereira Martín:
Model Predictive Control Structures for Periodic ON-OFF Irrigation. IEEE Access 11: 51985-51996 (2023) - [j22]Amalia Luque, Mirko Mazzoleni, Francisco Zamora-Polo, Antonio Ferramosca, Juan Ramón Lama, Fabio Previdi:
Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. IEEE Access 11: 115430-115449 (2023) - [j21]Juan Sereno, Agustina D'Jorge, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González:
Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems. Annu. Rev. Control. 56: 100901 (2023) - [j20]Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi:
GLISp-r: a preference-based optimization algorithm with convergence guarantees. Comput. Optim. Appl. 86(1): 383-420 (2023) - [j19]Román Comelli, Alejandro H. González, Antonio Ferramosca, Sorin Olaru, María M. Seron, Ernesto Kofman:
Simplified design of practically stable MPC schemes. Syst. Control. Lett. 180: 105626 (2023) - [c21]Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca:
CHoKI-Based MPC for Blood Glucose Regulation in Artificial Pancreas with Probabilistic Constraints. CDC 2023: 1619-1624 - [c20]Giulia Sonzogni, Mirko Mazzoleni, Marco Polver, Antonio Ferramosca, Fabio Previdi:
Notch Filter Design with Stability Guarantees for Mechanical Resonance Suppression in SISO LTI Two-Mass Drive Systems. CDC 2023: 7745-7750 - [i5]Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme V. Raffo:
Set-Point Tracking MPC with Avoidance Features. CoRR abs/2307.10871 (2023) - 2022
- [j18]Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, Antonio Ferramosca:
Visualizing Classification Results: Confusion Star and Confusion Gear. IEEE Access 10: 1659-1677 (2022) - [j17]Juan Sereno, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro Hernan González:
Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems. Autom. 144: 110496 (2022) - [j16]Agustina D'Jorge, Alejandro Anderson, Antonio Ferramosca, Alejandro H. González, Marcelo Actis:
On stability of nonzero set-point for nonlinear impulsive control systems. Syst. Control. Lett. 165: 105244 (2022) - [j15]Paula Chanfreut, José María Maestre, Antonio Ferramosca, Francisco Javier Muros, Eduardo F. Camacho:
Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach. IEEE Trans. Autom. Control. 67(12): 6873-6880 (2022) - [c19]Pablo Abuin, Antonio Ferramosca, Alejandro H. González:
MPC-based artificial pancreas accounting for circadian variability of insulin sensitivity. ICSC 2022: 582-587 - [i4]Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi:
GLISp-r: A preference-based optimization algorithm with convergence guarantees. CoRR abs/2202.01125 (2022) - [i3]Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi:
A unified surrogate-based scheme for black-box and preference-based optimization. CoRR abs/2202.01468 (2022) - 2021
- [j14]Pablo Abuin, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González:
Dynamical characterization of antiviral effects in COVID-19. Annu. Rev. Control. 52: 587-601 (2021) - [j13]Alejandro Anderson, Alejandro H. González, Antonio Ferramosca, Esteban A. Hernández-Vargas:
Discrete-time MPC for switched systems with applications to biomedical problems. Commun. Nonlinear Sci. Numer. Simul. 95: 105586 (2021) - [j12]Ignacio Sanchez, Agustina D'Jorge, Guilherme V. Raffo, Alejandro H. González, Antonio Ferramosca:
Nonlinear Model Predictive Path Following Controller with Obstacle Avoidance. J. Intell. Robotic Syst. 102(1): 16 (2021) - [j11]Eva Masero, José María Maestre, Antonio Ferramosca, Mario Francisco, Eduardo F. Camacho:
Robust Coalitional Model Predictive Control With Predicted Topology Transitions. IEEE Trans. Control. Netw. Syst. 8(4): 1869-1880 (2021) - [c18]Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme V. Raffo:
Tracking Nonlinear Model Predictive Control for Obstacle Avoidance. LARS/SBR/WRE 2021: 30-35 - 2020
- [j10]Pablo Abuin, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González:
Characterization of SARS-CoV-2 dynamics in the host. Annu. Rev. Control. 50: 457-468 (2020) - [i2]Agustina D'Jorge, Alejandro Anderson, Antonio Ferramosca, Alejandro H. González, Marcelo Actis:
On stability of nonzero set-point for non linear impulsive control systems. CoRR abs/2011.12085 (2020)
2010 – 2019
- 2019
- [c17]Iuro B. P. Nascimento, Antonio Ferramosca, Luciano C. A. Pimenta, Guilherme V. Raffo:
NMPC Strategy for a Quadrotor UAV in a 3D Unknown Environment. ICAR 2019: 179-184 - [c16]Ignacio Sanchez, Antonio Ferramosca, Guilherme V. Raffo, Alejandro H. González, Agustina D'Jorge:
Obstacle Avoiding Path Following based on Nonlinear Model Predictive Control using Artificial Variables. ICAR 2019: 254-259 - [i1]Alejandro Anderson, Agustina D'Jorge, Alejandro H. González, Antonio Ferramosca, Marcelo Actis:
MPC for tracking with maximum domain of attraction. CoRR abs/1910.00608 (2019) - 2018
- [j9]Alejandro Anderson, Alejandro H. González, Antonio Ferramosca, Agustina D'Jorge, Ehud Kofman:
Robust MPC suitable for closed-loop re-identification, based on probabilistic invariant sets. Syst. Control. Lett. 118: 84-93 (2018) - [j8]Pablo S. Rivadeneira, Antonio Ferramosca, Alejandro H. González:
Control Strategies for Nonzero Set-Point Regulation of Linear Impulsive Systems. IEEE Trans. Autom. Control. 63(9): 2994-3001 (2018) - [j7]Daniel Limón, Antonio Ferramosca, Ignacio Alvarado, Teodoro Alamo:
Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals. IEEE Trans. Autom. Control. 63(11): 3735-3750 (2018) - [c15]Alejandro Anderson, Alejandro Hernan González, Antonio Ferramosca, Ernesto Kofman:
Finite-time convergence results in Model Predictive Control. ECC 2018: 3203-3208 - 2017
- [j6]Aldo Ignacio Hinojosa, Antonio Ferramosca, Alejandro H. González, Darci Odloak:
One-layer gradient-based MPC + RTO of a propylene/propane splitter. Comput. Chem. Eng. 106: 160-170 (2017) - [c14]Pablo S. Rivadeneira, Michelle Caicedo, Antonio Ferramosca, Alejandro H. González:
Impulsive zone model predictive control (iZMPC) for therapeutic treatments: Application to HIV dynamics. CDC 2017: 4094-4099 - 2016
- [c13]Pablo S. Rivadeneira, Antonio Ferramosca, Alejandro H. González:
Impulsive zone model predictive control with application to type I diabetic patients. CCA 2016: 544-549 - [c12]Agustina D'Jorge, Alejandro Anderson, Alejandro H. González, Antonio Ferramosca:
A robust economic MPC for changing economic criterion. CCA 2016: 1374-1379 - [c11]José Luis Godoy, Alejandro H. González, Antonio Ferramosca, German A. Bustos, Julio E. Normey-Rico:
Tuning methodology for industrial predictive controllers applied to Natural Gas Processing Unit. CCA 2016: 1386-1391 - [c10]Bruno F. Santoro, Antonio Ferramosca, Alejandro H. González, Darci Odloak:
A zone control strategy for stochastic model predictive control. ACC 2016: 5370-5375 - 2015
- [c9]Antonio Ferramosca, Alejandro H. González, Daniel Limón:
Economic optimality in MPC: A comparative study. ACC 2015: 2555-2560 - 2014
- [j5]Alejandro H. González, Antonio Ferramosca, German A. Bustos, Jacinto L. Marchetti, Mirko Fiacchini, Darci Odloak:
Model predictive control suitable for closed-loop re-identification. Syst. Control. Lett. 69: 23-33 (2014) - [j4]Antonio Ferramosca, Daniel Limón, Eduardo F. Camacho:
Economic MPC for a Changing Economic Criterion for Linear Systems. IEEE Trans. Autom. Control. 59(10): 2657-2667 (2014) - 2013
- [j3]Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Eduardo F. Camacho:
Cooperative distributed MPC for tracking. Autom. 49(4): 906-914 (2013) - [c8]Alejandro H. González, Antonio Ferramosca, German A. Bustos, Jacinto L. Marchetti, Darci Odloak:
Model predictive control suitable for closed-loop re-identification. ACC 2013: 1709-1714 - [c7]Daniel Limón, Teodoro Alamo, Mario Pereira, Antonio Ferramosca, Alejandro H. González, Darci Odloak:
Integrating the RTO in the MPC: An adaptive gradient-based approach. ECC 2013: 7-12 - 2011
- [j2]Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Fernando Castaño, Eduardo F. Camacho:
Optimal MPC for tracking of constrained linear systems. Int. J. Syst. Sci. 42(8): 1265-1276 (2011) - 2010
- [c6]Antonio Ferramosca, James B. Rawlings, Daniel Limón, Eduardo F. Camacho:
Economic MPC for a changing economic criterion. CDC 2010: 6131-6136
2000 – 2009
- 2009
- [j1]Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho:
MPC for tracking with optimal closed-loop performance. Autom. 45(8): 1975-1978 (2009) - [c5]Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho:
MPC for tracking of constrained nonlinear systems. CDC 2009: 7978-7983 - [c4]Antonio Ferramosca, Daniel Limón, Alejandro H. González, Darci Odloak, Eduardo F. Camacho:
MPC for tracking target sets. CDC 2009: 8020-8025 - [c3]Antonio Ferramosca, Daniel Limón, Filiberto Fele, Eduardo Fernández Camacho:
L-Band SBQP-based MPC for supermarket refrigeration systems. ECC 2009: 162-167 - 2008
- [c2]Ignacio Alvarado, Daniel Limón, Antonio Ferramosca, Teodoro Alamo, Eduardo F. Camacho:
Robust tubed-based MPC for tracking applied to the quadruple-tank process. CCA 2008: 305-310 - [c1]Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho:
MPC for tracking with optimal closed-loop performance. CDC 2008: 4055-4060
Coauthor Index
aka: Alejandro Hernan González
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