Підписатись
Jose R. Salvador
Jose R. Salvador
Profesor Ayudante Doctor, Universidad Loyola Andalucía
Підтверджена електронна адреса в uloyola.es
Назва
Посилання
Посилання
Рік
Data-based predictive control via direct weight optimization
JR Salvador, DM de la Peña, T Alamo, A Bemporad
IFAC-PapersOnLine 51 (20), 356-361, 2018
372018
Offset free data driven control: application to a process control trainer
JR Salvador, D Rodriguez Ramirez, T Alamo, D Munoz de la Pena
IET Control Theory & Applications 13 (18), 3096-3106, 2019
212019
Nonlinear model predictive control-based guidance law for path following of unmanned surface vehicles
G Bejarano, JM Manzano, JR Salvador, D Limon
Ocean Engineering 258, 111764, 2022
202022
Economic model predictive control based on a periodicity constraint
Y Wang, JR Salvador, DM de la Pena, V Puig, G Cembrano
Journal of Process Control 68, 226-239, 2018
202018
Predictive control of a water distribution system based on process historian data
JR Salvador, D Munoz de la Pena, DR Ramirez, T Alamo
Optimal Control Applications and Methods 41 (2), 571-586, 2020
172020
Data driven control: an offset free approach
JR Salvador, DR Ramírez, T Alamo, DM de la Peña, G Garcia-Marin
2019 18th European Control Conference (ECC), 23-28, 2019
142019
Periodic nonlinear economic model predictive control with changing horizon for water distribution networks
Y Wang, JR Salvador, DM de la Pena, V Puig, G Cembrano
IFAC-PapersOnLine 50 (1), 6588-6593, 2017
132017
Economic predictive control for isolated microgrids based on real world demand/renewable energy data and forecast errors
JM Manzano, JR Salvador, JB Romaine, L Alvarado-Barrios
Renewable Energy 194, 647-658, 2022
112022
EEG—Single-channel envelope synchronisation and classification for seizure detection and prediction
JB Romaine, M Pereira Martín, JR Salvador Ortiz, JM Manzano Crespo
Brain Sciences 11 (4), 516, 2021
82021
Historian Data Based Predictive Control of a Water Distribution Network
JR Salvador, DM de la Pena, DR Ramirez, T Alamo
8*
Model predictive control of partially fading memory systems with binary inputs
JR Salvador, T Alamo, DR Ramirez, DM de la Peña
Journal of Process Control 64, 141-151, 2018
52018
On data reutilization for historian based predictive control
JM Maestre, E Masero, JR Salvador, DR Ramirez, Q Zhu
2022 IEEE 61st Conference on Decision and Control (CDC), 474-478, 2022
22022
Irrigation control by mimicry
JM Manzano Crespo, J Bareiro, GB Cáceres Rodríguez, ...
IFAC-Paper On Line 55 (32), 147-152, 2022
22022
Nonlinear model predictive control applied to robust guidance of autonomous surface vehicles
JM Manzano, JR Salvador, G Bejarano, D Limon
2021 60th IEEE Conference on Decision and Control (CDC), 5735-5740, 2021
22021
Economic Predictive Control for Microgrids Based on Real World Demand/Renewable Energy Data and Forecast Uncertainties
JM Manzano, JR Salvador, JB Romaine, L Alvarado
Renewable Energy Data and Forecast Uncertainties, 2022
12022
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning
E Masero, JM Maestre, JR Salvador, DR Ramirez, Q Zhu
Journal of Process Control 132, 103109, 2023
2023
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning
E Masero Rubio, JM Maestre Torreblanca, JR Salvador, ...
Journal of Process Control, 132., 2023
2023
On data reutilization for historian based predictive control
JM Maestre Torreblanca, E Masero Rubio, JR Salvador, ...
Conference on Decision and Control (CDC)(2023), pp. 474-478., 2023
2023
Stereo-vision solution for measuring Plant Area Index in high tunnel crops
A Tapia, L Orihuela, JB Romaine, JR Salvador
IFAC-PapersOnLine 55 (32), 165-170, 2022
2022
Learning-based predictive control for MIMO systems
JR Salvador, E Terzi, M Farina, DR Ramírez, L Fagiano, DM de la Peña, ...
2019 IEEE 58th Conference on Decision and Control (CDC), 7671-7676, 2019
2019
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