Antonio Ferramosca

76 papers C 8Journal 44Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A robust tube-based MPC approach for safer insulin dosing. IFAC J. Syst. Control. Nicola Licini, Marcelo Alves dos Santos, Fabio Previdi, Antonio Ferramosca
2026	J	`jnl`	Knowledge-guided recurrent neural networks for glucose-insulin dynamics modeling. IFAC J. Syst. Control. Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi, Antonio Ferramosca
2026	J	`jnl`	Robust Tracking MPC for Perturbed Nonlinear Systems. IEEE Trans. Autom. Control. Marco Polver, Daniel Limón, Fabio Previdi, Antonio Ferramosca
2025	C	`conf`	A novel dynamic modeling of Insulin Sensitivity in the Blood Glucose Minimal Model. ACC Nicola Licini, Beatrice Sonzogni, Pablo Abuin, Fabio Previdi, Alejandro H. González, Antonio Ferramosca
2025	J	`jnl`	CHoKI-based MPC for blood glucose regulation in Artificial Pancreas. IFAC J. Syst. Control. Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca
2025	—	`conf`	Disturbance-rejection-oriented temperature control of shrink tunnels under varying grid voltage. ECC Davide Previtali, Leandro Pitturelli, Antonio Ferramosca, Fabio Previdi
2025	—	`conf`	Energy power grid three-phase signal estimation and fault detection for electric vehicles. ECC Davide Cesani, Nicholas Valceschini, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
2025	—	`conf`	Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective. ECC Stefano De Carli, Davide Previtali, Leandro Pitturelli, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
2025	—	`conf`	Insulin Sensitivity Management in Artificial Pancreas: a Switching Control Strategy Approach - An In Silico Study. CDC M. S. Cavallo, Nicola Licini, Fabio Previdi, Antonio Ferramosca
2025	J	`jnl`	Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling. CoRR Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi, Antonio Ferramosca
2025	—	`conf`	Optimized carbohydrate suggestions and insulin dosing in Artificial Pancreas: dual-action Pulsatile Zone MPC with non-standard IOB constraints for physical activity management. ECC Nicola Licini, Beatrice Sonzogni, Pablo Abuin, Fabio Previdi, Alejandro H. González, Antonio Ferramosca
2025	J	`jnl`	Partially cooperative robust distributed model predictive control for tracking. Autom. Ana Sánchez-Amores, Antonio Ferramosca, José María Maestre Torreblanca, Eduardo F. Camacho
2025	J	`jnl`	Robust contraction-based model predictive control for nonlinear systems. CoRR Marco Polver, Daniel Limón, Fabio Previdi, Antonio Ferramosca
2025	J	`jnl`	Robust tracking MPC for perturbed nonlinear systems - Extended version. CoRR Marco Polver, Daniel Limón, Fabio Previdi, Antonio Ferramosca
2025	J	`jnl`	Time-Constrained MPC Approach for Switched Nonlinear Systems With Applications to Biomedical Problems. IEEE Control. Syst. Lett. Juan Sereno, Agustina D'Jorge, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González
2025	J	`jnl`	Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering. Appl. Intell. Amalia Luque, Daniel Campos Olivares, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi, Alejandro Carrasco
2024	—	`conf`	A meal detection approach based on parity space to detect untreated meals in subjects with Type 1 diabetes. CDC Paolo Alberto Mongini, Mirko Mazzoleni, Antonio Ferramosca, Lalo Magni, Chiara Toffanin
2024	—	`conf`	Artificial Pancreas under stable pulsatile Model Predictive Control: including the Physical Activity effect. CDC Nicola Licini, Beatrice Sonzogni, Pablo Abuin, Fabio Previdi, Alejandro H. González, Antonio Ferramosca
2024	J	`jnl`	CHoKI-based MPC for blood glucose regulation in Artificial Pancreas. CoRR Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca
2024	J	`jnl`	Model Predictive Control for setpoint tracking. CoRR Daniel Limón, Antonio Ferramosca, Ignacio Alvarado, Teodoro Alamo
2024	—	`conf`	Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. CDC Pablo Krupa, Johannes Köhler, Antonio Ferramosca, Ignacio Alvarado, Melanie Nicole Zeilinger, Teodoro Alamo, Daniel Limón
2024	J	`jnl`	Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. CoRR Pablo Krupa, Johannes Köhler, Antonio Ferramosca, Ignacio Alvarado, Melanie N. Zeilinger, Teodoro Alamo, Daniel Limón
2024	J	`jnl`	On the Stability of a Nonlinear MPC Scheme for Avoidance. IEEE Control. Syst. Lett. Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme Vianna Raffo
2024	J	`jnl`	Set-point tracking MPC with avoidance features. Autom. Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme Vianna Raffo
2024	J	`jnl`	The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines. IEEE Access Amalia Luque, Mirko Mazzoleni, Ana de las Heras, Antonio Ferramosca, Fabio Previdi, Alejandro Carrasco
2024	—	`conf`	Towards energy-efficient shrink tunnels by means of Economic Model Predictive Control. CASE Leandro Pitturelli, Davide Previtali, Antonio Ferramosca, Fabio Previdi
2024	—	`conf`	Tube-based coalitional model predictive control for tracking. CDC Ana Sánchez-Amores, Antonio Ferramosca, José M. Maestre, Eduardo Fernández Camacho
2023	—	`conf`	CHoKI-Based MPC for Blood Glucose Regulation in Artificial Pancreas with Probabilistic Constraints. CDC Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca
2023	J	`jnl`	Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. IEEE Access Amalia Luque, Mirko Mazzoleni, Francisco Zamora-Polo, Antonio Ferramosca, Juan Ramón Lama, Fabio Previdi
2023	J	`jnl`	GLISp-r: a preference-based optimization algorithm with convergence guarantees. Comput. Optim. Appl. Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
2023	J	`jnl`	Model Predictive Control Structures for Periodic ON-OFF Irrigation. IEEE Access Gabriela B. Cáceres, Antonio Ferramosca, Pablo Millán Gata, Mario Pereira Martín
2023	—	`conf`	Notch Filter Design with Stability Guarantees for Mechanical Resonance Suppression in SISO LTI Two-Mass Drive Systems. CDC Giulia Sonzogni, Mirko Mazzoleni, Marco Polver, Antonio Ferramosca, Fabio Previdi
2023	J	`jnl`	Set-Point Tracking MPC with Avoidance Features. CoRR Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme V. Raffo
2023	J	`jnl`	Simplified design of practically stable MPC schemes. Syst. Control. Lett. Román Comelli, Alejandro H. González, Antonio Ferramosca, Sorin Olaru, María M. Seron, Ernesto Kofman
2023	J	`jnl`	Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems. Annu. Rev. Control. Juan Sereno, Agustina D'Jorge, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González
2022	J	`jnl`	A unified surrogate-based scheme for black-box and preference-based optimization. CoRR Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
2022	J	`jnl`	Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach. IEEE Trans. Autom. Control. Paula Chanfreut, José María Maestre, Antonio Ferramosca, Francisco Javier Muros, Eduardo F. Camacho
2022	J	`jnl`	GLISp-r: A preference-based optimization algorithm with convergence guarantees. CoRR Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
2022	—	`conf`	MPC-based artificial pancreas accounting for circadian variability of insulin sensitivity. ICSC Pablo Abuin, Antonio Ferramosca, Alejandro H. González
2022	J	`jnl`	Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems. Autom. Juan Sereno, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro Hernan González
2022	J	`jnl`	On stability of nonzero set-point for nonlinear impulsive control systems. Syst. Control. Lett. Agustina D'Jorge, Alejandro Anderson, Antonio Ferramosca, Alejandro H. González, Marcelo Actis
2022	J	`jnl`	Visualizing Classification Results: Confusion Star and Confusion Gear. IEEE Access Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, Antonio Ferramosca
2021	J	`jnl`	Discrete-time MPC for switched systems with applications to biomedical problems. Commun. Nonlinear Sci. Numer. Simul. Alejandro Anderson, Alejandro H. González, Antonio Ferramosca, Esteban A. Hernández-Vargas
2021	J	`jnl`	Dynamical characterization of antiviral effects in COVID-19. Annu. Rev. Control. Pablo Abuin, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González
2021	J	`jnl`	Nonlinear Model Predictive Path Following Controller with Obstacle Avoidance. J. Intell. Robotic Syst. Ignacio Sanchez, Agustina D'Jorge, Guilherme V. Raffo, Alejandro H. González, Antonio Ferramosca
2021	J	`jnl`	Robust Coalitional Model Predictive Control With Predicted Topology Transitions. IEEE Trans. Control. Netw. Syst. Eva Masero, José María Maestre, Antonio Ferramosca, Mario Francisco, Eduardo F. Camacho
2021	—	`conf`	Tracking Nonlinear Model Predictive Control for Obstacle Avoidance. LARS/SBR/WRE Marcelo Alves dos Santos, Antonio Ferramosca, Guilherme V. Raffo
2020	J	`jnl`	Characterization of SARS-CoV-2 dynamics in the host. Annu. Rev. Control. Pablo Abuin, Alejandro Anderson, Antonio Ferramosca, Esteban A. Hernández-Vargas, Alejandro H. González
2020	J	`jnl`	On stability of nonzero set-point for non linear impulsive control systems. CoRR Agustina D'Jorge, Alejandro Anderson, Antonio Ferramosca, Alejandro H. González, Marcelo Actis
2019	J	`jnl`	MPC for tracking with maximum domain of attraction. CoRR Alejandro Anderson, Agustina D'Jorge, Alejandro H. González, Antonio Ferramosca, Marcelo Actis
2019	—	`conf`	NMPC Strategy for a Quadrotor UAV in a 3D Unknown Environment. ICAR Iuro B. P. Nascimento, Antonio Ferramosca, Luciano C. A. Pimenta, Guilherme V. Raffo
2019	—	`conf`	Obstacle Avoiding Path Following based on Nonlinear Model Predictive Control using Artificial Variables. ICAR Ignacio Sanchez, Antonio Ferramosca, Guilherme V. Raffo, Alejandro H. González, Agustina D'Jorge
2018	J	`jnl`	Control Strategies for Nonzero Set-Point Regulation of Linear Impulsive Systems. IEEE Trans. Autom. Control. Pablo S. Rivadeneira, Antonio Ferramosca, Alejandro H. González
2018	—	`conf`	Finite-time convergence results in Model Predictive Control. ECC Alejandro Anderson, Alejandro Hernan González, Antonio Ferramosca, Ernesto Kofman
2018	J	`jnl`	Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals. IEEE Trans. Autom. Control. Daniel Limón, Antonio Ferramosca, Ignacio Alvarado, Teodoro Alamo
2018	J	`jnl`	Robust MPC suitable for closed-loop re-identification, based on probabilistic invariant sets. Syst. Control. Lett. Alejandro Anderson, Alejandro H. González, Antonio Ferramosca, Agustina D'Jorge, Ernesto Kofman
2017	—	`conf`	Impulsive zone model predictive control (iZMPC) for therapeutic treatments: Application to HIV dynamics. CDC Pablo S. Rivadeneira, Michelle Caicedo, Antonio Ferramosca, Alejandro H. González
2017	J	`jnl`	One-layer gradient-based MPC + RTO of a propylene/propane splitter. Comput. Chem. Eng. Aldo Ignacio Hinojosa, Antonio Ferramosca, Alejandro H. González, Darci Odloak
2016	C	`conf`	A robust economic MPC for changing economic criterion. CCA Agustina D'Jorge, Alejandro Anderson, Alejandro H. González, Antonio Ferramosca
2016	C	`conf`	A zone control strategy for stochastic model predictive control. ACC Bruno F. Santoro, Antonio Ferramosca, Alejandro H. González, Darci Odloak
2016	C	`conf`	Impulsive zone model predictive control with application to type I diabetic patients. CCA Pablo S. Rivadeneira, Antonio Ferramosca, Alejandro H. González
2016	C	`conf`	Tuning methodology for industrial predictive controllers applied to Natural Gas Processing Unit. CCA José Luis Godoy, Alejandro H. González, Antonio Ferramosca, German A. Bustos, Julio E. Normey-Rico
2015	C	`conf`	Economic optimality in MPC: A comparative study. ACC Antonio Ferramosca, Alejandro H. González, Daniel Limón
2014	J	`jnl`	Economic MPC for a Changing Economic Criterion for Linear Systems. IEEE Trans. Autom. Control. Antonio Ferramosca, Daniel Limón, Eduardo F. Camacho
2014	J	`jnl`	Model predictive control suitable for closed-loop re-identification. Syst. Control. Lett. Alejandro H. González, Antonio Ferramosca, German A. Bustos, Jacinto L. Marchetti, Mirko Fiacchini, Darci Odloak
2013	J	`jnl`	Cooperative distributed MPC for tracking. Autom. Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Eduardo F. Camacho
2013	—	`conf`	Integrating the RTO in the MPC: An adaptive gradient-based approach. ECC Daniel Limón, Teodoro Alamo, Mario Pereira, Antonio Ferramosca, Alejandro H. González, Darci Odloak
2013	C	`conf`	Model predictive control suitable for closed-loop re-identification. ACC Alejandro H. González, Antonio Ferramosca, German A. Bustos, Jacinto L. Marchetti, Darci Odloak
2011	J	`jnl`	Optimal MPC for tracking of constrained linear systems. Int. J. Syst. Sci. Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Fernando Castaño, Eduardo F. Camacho
2010	—	`conf`	Economic MPC for a changing economic criterion. CDC Antonio Ferramosca, James B. Rawlings, Daniel Limón, Eduardo F. Camacho
2009	—	`conf`	L-Band SBQP-based MPC for supermarket refrigeration systems. ECC Antonio Ferramosca, Daniel Limón, Filiberto Fele, Eduardo Fernández Camacho
2009	—	`conf`	MPC for tracking of constrained nonlinear systems. CDC Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho
2009	—	`conf`	MPC for tracking target sets. CDC Antonio Ferramosca, Daniel Limón, Alejandro H. González, Darci Odloak, Eduardo F. Camacho
2009	J	`jnl`	MPC for tracking with optimal closed-loop performance. Autom. Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho
2008	—	`conf`	MPC for tracking with optimal closed-loop performance. CDC Antonio Ferramosca, Daniel Limón, Ignacio Alvarado, Teodoro Alamo, Eduardo F. Camacho
2008	C	`conf`	Robust tubed-based MPC for tracking applied to the quadruple-tank process. CCA Ignacio Alvarado, Daniel Limón, Antonio Ferramosca, Teodoro Alamo, Eduardo F. Camacho