Robust tubed-based MPC for tracking applied to the quadruple-tank process. - Ignacio Alvarado; Daniel Limón; Antonio Ferramosca; Teodoro Alamo; Eduardo F. Camacho (CCA, 2008)

MPC for tracking of constrained nonlinear systems. - Antonio Ferramosca; Daniel Limón; Ignacio Alvarado; Teodoro Alamo; Eduardo F. Camacho (CDC, 2009)

MPC for tracking target sets. - Antonio Ferramosca; Daniel Limón; Alejandro H. González 001; Darci Odloak; Eduardo F. Camacho (CDC, 2009)

L-Band SBQP-based MPC for supermarket refrigeration systems. - Antonio Ferramosca; Daniel Limón; Filiberto Fele; Eduardo Fernández Camacho (ECC, 2009)

MPC for tracking with optimal closed-loop performance. - Antonio Ferramosca; Daniel Limón; Ignacio Alvarado; Teodoro Alamo; Eduardo F. Camacho (Autom., 2009)

Economic MPC for a changing economic criterion. - Antonio Ferramosca; James B. Rawlings; Daniel Limón; Eduardo F. Camacho (CDC, 2010)

Optimal MPC for tracking of constrained linear systems. - Antonio Ferramosca; Daniel Limón; Ignacio Alvarado; Teodoro Alamo; Fernando Castaño; Eduardo F. Camacho (Int. J. Syst. Sci., 2011)

Model predictive control suitable for closed-loop re-identification. - Alejandro H. González 001; Antonio Ferramosca; German A. Bustos; Jacinto L. Marchetti; Darci Odloak (ACC, 2013)

Integrating the RTO in the MPC: An adaptive gradient-based approach. - Daniel Limón; Teodoro Alamo; Mario Pereira; Antonio Ferramosca; Alejandro H. González 001; Darci Odloak (ECC, 2013)

Cooperative distributed MPC for tracking. - Antonio Ferramosca; Daniel Limón; Ignacio Alvarado; Eduardo F. Camacho (Autom., 2013)

Model predictive control suitable for closed-loop re-identification. - Alejandro H. González 001; Antonio Ferramosca; German A. Bustos; Jacinto L. Marchetti; Mirko Fiacchini; Darci Odloak (Syst. Control. Lett., 2014)

Economic MPC for a Changing Economic Criterion for Linear Systems. - Antonio Ferramosca; Daniel Limón; Eduardo F. Camacho (IEEE Trans. Autom. Control., 2014)

Economic optimality in MPC: A comparative study. - Antonio Ferramosca; Alejandro H. González 001; Daniel Limón (ACC, 2015)

Tuning methodology for industrial predictive controllers applied to Natural Gas Processing Unit. - José Luis Godoy; Alejandro H. González 001; Antonio Ferramosca; German A. Bustos; Julio E. Normey-Rico (CCA, 2016)

A robust economic MPC for changing economic criterion. - Agustina D'Jorge; Alejandro Anderson; Alejandro H. González 001; Antonio Ferramosca (CCA, 2016)

Impulsive zone model predictive control with application to type I diabetic patients. - Pablo S. Rivadeneira; Antonio Ferramosca; Alejandro H. González 001 (CCA, 2016)

A zone control strategy for stochastic model predictive control. - Bruno F. Santoro; Antonio Ferramosca; Alejandro H. González 001; Darci Odloak (ACC, 2016)

Impulsive zone model predictive control (iZMPC) for therapeutic treatments: Application to HIV dynamics. - Pablo S. Rivadeneira; Michelle Caicedo; Antonio Ferramosca; Alejandro H. González 001 (CDC, 2017)

One-layer gradient-based MPC + RTO of a propylene/propane splitter. - Aldo Ignacio Hinojosa; Antonio Ferramosca; Alejandro H. González 001; Darci Odloak (Comput. Chem. Eng., 2017)

Finite-time convergence results in Model Predictive Control. - Alejandro Anderson; Alejandro Hernan González; Antonio Ferramosca; Ernesto Kofman (ECC, 2018)

Robust MPC suitable for closed-loop re-identification, based on probabilistic invariant sets. - Alejandro Anderson; Alejandro H. González 001; Antonio Ferramosca; Agustina D'Jorge; Ehud Kofman (Syst. Control. Lett., 2018)

Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals. - Daniel Limón; Antonio Ferramosca; Ignacio Alvarado; Teodoro Alamo (IEEE Trans. Autom. Control., 2018)

Control Strategies for Nonzero Set-Point Regulation of Linear Impulsive Systems. - Pablo S. Rivadeneira; Antonio Ferramosca; Alejandro H. González 001 (IEEE Trans. Autom. Control., 2018)

NMPC Strategy for a Quadrotor UAV in a 3D Unknown Environment. - Iuro B. P. Nascimento; Antonio Ferramosca; Luciano C. A. Pimenta; Guilherme V. Raffo (ICAR, 2019)

Obstacle Avoiding Path Following based on Nonlinear Model Predictive Control using Artificial Variables. - Ignacio Sanchez; Antonio Ferramosca; Guilherme V. Raffo; Alejandro H. González 001; Agustina D'Jorge (ICAR, 2019)

MPC for tracking with maximum domain of attraction. - Alejandro Anderson; Agustina D'Jorge; Alejandro H. González 001; Antonio Ferramosca; Marcelo Actis (CoRR, 2019)

Characterization of SARS-CoV-2 dynamics in the host. - Pablo Abuin; Alejandro Anderson; Antonio Ferramosca; Esteban A. Hernández-Vargas; Alejandro H. González 001 (Annu. Rev. Control., 2020)

On stability of nonzero set-point for non linear impulsive control systems. - Agustina D'Jorge; Alejandro Anderson; Antonio Ferramosca; Alejandro H. González 001; Marcelo Actis (CoRR, 2020)

Tracking Nonlinear Model Predictive Control for Obstacle Avoidance. - Marcelo Alves dos Santos; Antonio Ferramosca; Guilherme V. Raffo (LARS/SBR/WRE, 2021)

Dynamical characterization of antiviral effects in COVID-19. - Pablo Abuin; Alejandro Anderson; Antonio Ferramosca; Esteban A. Hernández-Vargas; Alejandro H. González 001 (Annu. Rev. Control., 2021)

Discrete-time MPC for switched systems with applications to biomedical problems. - Alejandro Anderson; Alejandro H. González 001; Antonio Ferramosca; Esteban A. Hernández-Vargas (Commun. Nonlinear Sci. Numer. Simul., 2021)

Nonlinear Model Predictive Path Following Controller with Obstacle Avoidance. - Ignacio Sanchez; Agustina D'Jorge; Guilherme V. Raffo; Alejandro H. González 001; Antonio Ferramosca (J. Intell. Robotic Syst., 2021)

Robust Coalitional Model Predictive Control With Predicted Topology Transitions. - Eva Masero; José María Maestre 001; Antonio Ferramosca; Mario Francisco; Eduardo F. Camacho (IEEE Trans. Control. Netw. Syst., 2021)

MPC-based artificial pancreas accounting for circadian variability of insulin sensitivity. - Pablo Abuin; Antonio Ferramosca; Alejandro H. González 001 (ICSC, 2022)

Visualizing Classification Results: Confusion Star and Confusion Gear. - Amalia Luque; Mirko Mazzoleni; Alejandro Carrasco; Antonio Ferramosca (IEEE Access, 2022)

Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems. - Juan Sereno; Alejandro Anderson; Antonio Ferramosca; Esteban A. Hernández-Vargas; Alejandro Hernan González (Autom., 2022)

A unified surrogate-based scheme for black-box and preference-based optimization. - Davide Previtali; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi (CoRR, 2022)

On stability of nonzero set-point for nonlinear impulsive control systems. - Agustina D'Jorge; Alejandro Anderson; Antonio Ferramosca; Alejandro H. González 001; Marcelo Actis (Syst. Control. Lett., 2022)

Distributed Model Predictive Control for Tracking: A Coalitional Clustering Approach. - Paula Chanfreut; José María Maestre 001; Antonio Ferramosca; Francisco Javier Muros; Eduardo F. Camacho (IEEE Trans. Autom. Control., 2022)

Notch Filter Design with Stability Guarantees for Mechanical Resonance Suppression in SISO LTI Two-Mass Drive Systems. - Giulia Sonzogni; Mirko Mazzoleni; Marco Polver; Antonio Ferramosca; Fabio Previdi (CDC, 2023)

CHoKI-Based MPC for Blood Glucose Regulation in Artificial Pancreas with Probabilistic Constraints. - Beatrice Sonzogni; José María Manzano; Marco Polver; Fabio Previdi; Antonio Ferramosca (CDC, 2023)

Model Predictive Control Structures for Periodic ON-OFF Irrigation. - Gabriela B. Cáceres; Antonio Ferramosca; Pablo Millán Gata; Mario Pereira Martín (IEEE Access, 2023)

Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. - Amalia Luque; Mirko Mazzoleni; Francisco Zamora-Polo; Antonio Ferramosca; Juan Ramón Lama; Fabio Previdi (IEEE Access, 2023)

Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems. - Juan Sereno; Agustina D'Jorge; Antonio Ferramosca; Esteban A. Hernández-Vargas; Alejandro H. González 001 (Annu. Rev. Control., 2023)

GLISp-r: a preference-based optimization algorithm with convergence guarantees. - Davide Previtali; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi (Comput. Optim. Appl., 2023)

Simplified design of practically stable MPC schemes. - Román Comelli; Alejandro H. González 001; Antonio Ferramosca; Sorin Olaru; María M. Seron; Ernesto Kofman (Syst. Control. Lett., 2023)

Towards energy-efficient shrink tunnels by means of Economic Model Predictive Control. - Leandro Pitturelli; Davide Previtali; Antonio Ferramosca; Fabio Previdi (CASE, 2024)

Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. - Pablo Krupa; Johannes Köhler 001; Antonio Ferramosca; Ignacio Alvarado; Melanie Nicole Zeilinger; Teodoro Alamo; Daniel Limón (CDC, 2024)

Artificial Pancreas under stable pulsatile Model Predictive Control: including the Physical Activity effect. - Nicola Licini; Beatrice Sonzogni; Pablo Abuin; Fabio Previdi; Alejandro H. González 001; Antonio Ferramosca (CDC, 2024)

A meal detection approach based on parity space to detect untreated meals in subjects with Type 1 diabetes. - Paolo Alberto Mongini; Mirko Mazzoleni; Antonio Ferramosca; Lalo Magni; Chiara Toffanin (CDC, 2024)

Tube-based coalitional model predictive control for tracking. - Ana Sánchez-Amores; Antonio Ferramosca; José M. Maestre 001; Eduardo Fernández Camacho (CDC, 2024)

The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines. - Amalia Luque; Mirko Mazzoleni; Ana de las Heras; Antonio Ferramosca; Fabio Previdi; Alejandro Carrasco (IEEE Access, 2024)

Model Predictive Control for setpoint tracking. - Daniel Limón; Antonio Ferramosca; Ignacio Alvarado; Teodoro Alamo (CoRR, 2024)

On the Stability of a Nonlinear MPC Scheme for Avoidance. - Marcelo Alves dos Santos; Antonio Ferramosca; Guilherme Vianna Raffo (IEEE Control. Syst. Lett., 2024)

Set-point tracking MPC with avoidance features. - Marcelo Alves dos Santos; Antonio Ferramosca; Guilherme Vianna Raffo (Autom., 2024)

A novel dynamic modeling of Insulin Sensitivity in the Blood Glucose Minimal Model. - Nicola Licini; Beatrice Sonzogni; Pablo Abuin; Fabio Previdi; Alejandro H. González 001; Antonio Ferramosca (ACC, 2025)

Partially cooperative robust distributed model predictive control for tracking. - Ana Sánchez-Amores; Antonio Ferramosca; José María Maestre Torreblanca; Eduardo F. Camacho (Autom., 2025)

Time-Constrained MPC Approach for Switched Nonlinear Systems With Applications to Biomedical Problems. - Juan Sereno; Agustina D'Jorge; Antonio Ferramosca; Esteban A. Hernández-Vargas; Alejandro H. González 001 (IEEE Control. Syst. Lett., 2025)

CHoKI-based MPC for blood glucose regulation in Artificial Pancreas. - Beatrice Sonzogni; José María Manzano; Marco Polver; Fabio Previdi; Antonio Ferramosca (IFAC J. Syst. Control., 2025)

Robust contraction-based model predictive control for nonlinear systems. - Marco Polver; Daniel Limón; Fabio Previdi; Antonio Ferramosca (CoRR, 2025)

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling. - Stefano De Carli; Nicola Licini; Davide Previtali; Fabio Previdi; Antonio Ferramosca (CoRR, 2025)

Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering. - Amalia Luque; Daniel Campos Olivares; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi; Alejandro Carrasco (Appl. Intell., 2025)

Robust tracking MPC for perturbed nonlinear systems - Extended version. - Marco Polver; Daniel Limón; Fabio Previdi; Antonio Ferramosca (CoRR, 2025)