José María Manzano

According to our database, José María Manzano authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CHoKI-based MPC for blood glucose regulation in Artificial Pancreas.

Beatrice Sonzogni, José María Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca

CoRR, 2024

Deployment and Verification of Custom Autonomous Low-Budget IoT Devices for Image Feature Extraction in Wheat.

F. Martinez, James Brian Romaine, José María Manzano, Carmelina Ierardi, Pablo Millán Gata

IEEE Access, 2024

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

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Efficient FPGA Parallelization of Lipschitz Interpolation for Real-Time Decision-Making.

Juan Moreno Nadales, José María Manzano, Angel Barriga, Daniel Limón

IEEE Trans. Control. Syst. Technol., 2022

Experimental validation of robust non-linear state observers for autonomous surface vehicles equipped with position sensors.

Thalia A. Morel, Guillermo Bejarano, José María Manzano, Luis Orihuela

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Componentwise Hölder Inference for Robust Learning-Based MPC.

José María Manzano, David Muñoz de la Peña, Jan-Peter Calliess, Daniel Limón

IEEE Trans. Autom. Control., 2021

Oracle-based economic predictive control.

José María Manzano, David Muñoz de la Peña, Daniel Limón

Comput. Chem. Eng., 2021

Implementation of Fast Predictive Controllers on FPGA Platforms based on Parallel Lipschitz Interpolation.

Juan Moreno Nadales, José María Manzano, Angel Barriga, Daniel Limón

Proceedings of the 2021 European Control Conference, 2021

Nonlinear model predictive control applied to robust guidance of autonomous surface vehicles.

José María Manzano, José Ramón Salvador, Guillermo Bejarano, Daniel Limón

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Robust learning-based MPC for nonlinear constrained systems.

José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-Peter Calliess

Autom., 2020

2019

Localised Kinky Inference.

Arno Blaas, José María Manzano, Daniel Limón, Jan Calliess

Proceedings of the 17th European Control Conference, 2019

Oracle-Based Economic Predictive Control.

José María Manzano, Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Data-based Robust MPC with Componentwise Hölder Kinky Inference.

José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-P. Calliess

Proceedings of the 58th IEEE Conference on Decision and Control, 2019