| Improving wind turbine pitch control by effective wind neuro-estimators JE Sierra-García, M Santos IEEE Access 9, 10413-10425, 2021 | 65 | 2021 |
| Modelling engineering systems using analytical and neural techniques: Hybridization JE Sierra, M Santos Neurocomputing 271, 70-83, 2018 | 61 | 2018 |
| Deep learning and fuzzy logic to implement a hybrid wind turbine pitch control JE Sierra-Garcia, M Santos Neural Computing and Applications 34 (13), 10503-10517, 2022 | 56 | 2022 |
| Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer JE Sierra-Garcia, M Santos, R Pandit Engineering Applications of Artificial Intelligence 111, 104769, 2022 | 55 | 2022 |
| Redes neuronales y aprendizaje por refuerzo en el control de turbinas eólicas JE Sierra-García, M Santos Revista Iberoamericana de Automática e Informática industrial 18 (4), 327-335, 2021 | 51 | 2021 |
| Deployment and evaluation of an industry 4.0 use case over 5G W Nakimuli, J Garcia-Reinoso, JE Sierra-Garcia, P Serrano, IQ Fernández IEEE Communications Magazine 59 (7), 14-20, 2021 | 51 | 2021 |
| Performance analysis of a wind turbine pitch neurocontroller with unsupervised learning JE Sierra-García, M Santos Complexity 2020 (1), 4681767, 2020 | 46 | 2020 |
| Wind and payload disturbance rejection control based on adaptive neural estimators: application on quadrotors JE Sierra, M Santos Complexity 2019 (1), 6460156, 2019 | 38 | 2019 |
| Mechatronic modelling of industrial AGVs: A complex system architecture JE Sierra-García, M Santos Complexity 2020 (1), 6687816, 2020 | 37 | 2020 |
| Exploring reward strategies for wind turbine pitch control by reinforcement learning JE Sierra-García, M Santos Applied Sciences 10 (21), 7462, 2020 | 36 | 2020 |
| Combining reinforcement learning and conventional control to improve automatic guided vehicles tracking of complex trajectories JE Sierra‐Garcia, M Santos Expert Systems 41 (2), e13076, 2024 | 32 | 2024 |
| UWB-based safety system for autonomous guided vehicles without hardware on the infrastructure L Zamora-Cadenas, I Velez, JE Sierra-Garcia IEEE Access 9, 96430-96443, 2021 | 31 | 2021 |
| Switched learning adaptive neuro-control strategy JE Sierra-García, M Santos Neurocomputing 452, 450-464, 2021 | 29 | 2021 |
| Forecasting automated guided vehicle malfunctioning with deep learning in a 5G-based industry 4.0 scenario S Vakaruk, JE Sierra-García, A Mozo, A Pastor IEEE Communications Magazine 59 (11), 102-108, 2021 | 27 | 2021 |
| Intelligent control of an UAV with a cable-suspended load using a neural network estimator JE Sierra-García, M Santos Expert Systems with Applications 183, 115380, 2021 | 26 | 2021 |
| Transporte multi-AGV de una carga: estado del arte y propuesta centralizada F Espinosa, C Santos, JE Sierra-García Revista Iberoamericana de Automática e Informática industrial 18 (1), 82-91, 2020 | 25 | 2020 |
| Wind turbine maximum power point tracking control based on unsupervised neural networks E Muñoz-Palomeque, JE Sierra-García, M Santos Journal of Computational Design and Engineering 10 (1), 108-121, 2023 | 22 | 2023 |
| Lookup table and neural network hybrid strategy for wind turbine pitch control JE Sierra-García, M Santos Sustainability 13 (6), 3235, 2021 | 22 | 2021 |
| Neural networks and reinforcement learning in wind turbine control JE Sierra-García, M Santos Revista Iberoamericana de Automática e Informática Industrial 18 (4), 327-335, 2021 | 22 | 2021 |
| Hybrid optimized fuzzy pitch controller of a floating wind turbine with fatigue analysis C Serrano, JE Sierra-Garcia, M Santos Journal of Marine Science and Engineering 10 (11), 1769, 2022 | 21 | 2022 |
Matilde Santos PeñasFull Professor of Computer Science and Physics, Complutense University of MadridBestätigte E-Mail-Adresse bei ucm.es