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ORCIDJosé María Manzano
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2020 – today
- 2024
[j5]F. Martinez
, James Brian Romaine, José María Manzano, Carmelina Ierardi, Pablo Millán Gata:
Deployment and Verification of Custom Autonomous Low-Budget IoT Devices for Image Feature Extraction in Wheat. IEEE Access 12: 124636-124657 (2024)- [i2]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) - 2023
- [c7]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 - 2022
- [j4]Juan Moreno Nadales, José María Manzano, Angel Barriga, Daniel Limón:
Efficient FPGA Parallelization of Lipschitz Interpolation for Real-Time Decision-Making. IEEE Trans. Control. Syst. Technol. 30(5): 2163-2175 (2022) - [c6]Thalia A. Morel, Guillermo Bejarano, José María Manzano, Luis Orihuela:
Experimental validation of robust non-linear state observers for autonomous surface vehicles equipped with position sensors. CCTA 2022: 357-362 - 2021
- [j3]José María Manzano, David Muñoz de la Peña, Daniel Limón:
Oracle-based economic predictive control. Comput. Chem. Eng. 153: 107434 (2021) - [j2]José María Manzano, David Muñoz de la Peña, Jan-Peter Calliess, Daniel Limón:
Componentwise Hölder Inference for Robust Learning-Based MPC. IEEE Trans. Autom. Control. 66(11): 5577-5583 (2021) - [c5]José María Manzano, José Ramón Salvador, Guillermo Bejarano, Daniel Limón:
Nonlinear model predictive control applied to robust guidance of autonomous surface vehicles. CDC 2021: 5735-5740 - [c4]Juan Moreno Nadales, José María Manzano, Angel Barriga, Daniel Limón:
Implementation of Fast Predictive Controllers on FPGA Platforms based on Parallel Lipschitz Interpolation. ECC 2021: 1537-1542 - [i1]José María Manzano, David Muñoz de la Peña, Daniel Limón:
Oracle-based economic predictive control. CoRR abs/2104.09490 (2021) - 2020
- [j1]José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-Peter Calliess:
Robust learning-based MPC for nonlinear constrained systems. Autom. 117: 108948 (2020)
2010 – 2019
- 2019
- [c3]José María Manzano, Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón:
Oracle-Based Economic Predictive Control. CDC 2019: 4246-4251 - [c2]José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-P. Calliess:
Data-based Robust MPC with Componentwise Hölder Kinky Inference. CDC 2019: 6449-6454 - [c1]Arno Blaas, José María Manzano, Daniel Limón, Jan Calliess:
Localised Kinky Inference. ECC 2019: 985-992
Coauthor Index
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