Antonio Ferramosca

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Model Predictive Control

Physicochemical Properties

Top Venues

Syst. Control. Lett.

IEEE Trans. Autom. Control.

Annu. Rev. Control.

Publications

Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca
CHoKI-based MPC for blood glucose regulation in Artificial Pancreas. CoRR (2024)
Daniel Limón, Antonio Ferramosca, Ignacio Alvarado, Teodoro Alamo
Model Predictive Control for setpoint tracking. CoRR (2024)
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 (2024)
Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme Vianna Raffo
Set-point tracking MPC with avoidance features. Autom. 159 (2024)
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 (2023)
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)
Marcelo A. Santos, Antonio Ferramosca, Guilherme V. Raffo
Set-Point Tracking MPC with Avoidance Features. CoRR (2023)
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 (2023)
Gabriela B. Cáceres, Antonio Ferramosca, Pablo Millán Gata, Mario Pereira Martín
Model Predictive Control Structures for Periodic ON-OFF Irrigation. IEEE Access 11 (2023)
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)
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 (2023)
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
GLISp-r: a preference-based optimization algorithm with convergence guarantees. Comput. Optim. Appl. 86 (1) (2023)
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
GLISp-r: A preference-based optimization algorithm with convergence guarantees. CoRR (2022)
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
A unified surrogate-based scheme for black-box and preference-based optimization. CoRR (2022)
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 (2022)
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 (2022)
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) (2022)
Pablo Abuin, Antonio Ferramosca, Alejandro H. González
MPC-based artificial pancreas accounting for circadian variability of insulin sensitivity. ICSC (2022)
Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, Antonio Ferramosca
Visualizing Classification Results: Confusion Star and Confusion Gear. IEEE Access 10 (2022)
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 (2021)
Pablo Abuin, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernandez-Vargas, Alejandro H. González
Dynamical characterization of antiviral effects in COVID-19. Annu. Rev. Control. 52 (2021)
Marcelo A. Santos, Antonio Ferramosca, Guilherme V. Raffo
Tracking Nonlinear Model Predictive Control for Obstacle Avoidance. LARS/SBR/WRE (2021)
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) (2021)
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) (2021)
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 (2020)
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 (2020)
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)
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)
Alejandro Anderson, Agustina D'Jorge, Alejandro H. González, Antonio Ferramosca, Marcelo Actis
MPC for tracking with maximum domain of attraction. CoRR (2019)
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 (2018)
Daniel Limón, Antonio Ferramosca, Ignacio Alvarado, Teodoro Alamo
Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals. IEEE Trans. Autom. Control. 63 (11) (2018)
Alejandro Anderson, Alejandro Hernan González, Antonio Ferramosca, Ernesto Kofman
Finite-time convergence results in Model Predictive Control. ECC (2018)
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) (2018)
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)
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 (2017)
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)
Bruno F. Santoro, Antonio Ferramosca, Alejandro H. González, Darci Odloak
A zone control strategy for stochastic model predictive control. ACC (2016)
Pablo S. Rivadeneira, Antonio Ferramosca, Alejandro H. González
Impulsive zone model predictive control with application to type I diabetic patients. CCA (2016)
Agustina D'Jorge, Alejandro Anderson, Alejandro H. González, Antonio Ferramosca
A robust economic MPC for changing economic criterion. CCA (2016)
Antonio Ferramosca, Alejandro H. González, Daniel Limón
Economic optimality in MPC: A comparative study. ACC (2015)
Antonio Ferramosca, Daniel Limón, Eduardo F. Camacho
Economic MPC for a Changing Economic Criterion for Linear Systems. IEEE Trans. Autom. Control. 59 (10) (2014)
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 (2014)
Alejandro H. González, Antonio Ferramosca, German A. Bustos, Jacinto L. Marchetti, Darci Odloak
Model predictive control suitable for closed-loop re-identification. ACC (2013)
Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Eduardo F. Camacho
Cooperative distributed MPC for tracking. Autom. 49 (4) (2013)
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)
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) (2011)
Antonio Ferramosca, James B. Rawlings, Daniel Limón, Eduardo F. Camacho
Economic MPC for a changing economic criterion. CDC (2010)
Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho
MPC for tracking of constrained nonlinear systems. CDC (2009)
Antonio Ferramosca, Daniel Limón, Alejandro H. González, Darci Odloak, Eduardo F. Camacho
MPC for tracking target sets. CDC (2009)
Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho
MPC for tracking with optimal closed-loop performance. Autom. 45 (8) (2009)
Antonio Ferramosca, Daniel Limón, Filiberto Fele, Eduardo Fernández Camacho
L-Band SBQP-based MPC for supermarket refrigeration systems. ECC (2009)
Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho
MPC for tracking with optimal closed-loop performance. CDC (2008)
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)