| Robust learning-based MPC for nonlinear constrained systems JM Manzano, D Limon, DM de la Peña, JP Calliess Automatica 117, 108948, 2020 | 68 | 2020 |
| Stability of gaussian process learning based output feedback model predictive control M Maiworm, D Limon, JM Manzano, R Findeisen IFAC-PapersOnLine 51 (20), 455-461, 2018 | 50 | 2018 |
| Output Feedback MPC based on Smoothed Projected Kinky Inference JM Manzano, D Limon, D Muñoz de la Peña, JP Calliess IET Control Theory & Applications 13 (6), 795-805, 2019 | 46 | 2019 |
| 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 | 20 | 2022 |
| Robust data-based model predictive control for nonlinear constrained systems JM Manzano, D Limon, DM de la Peñ, J Calliess IFAC-PapersOnLine 51 (20), 505-510, 2018 | 17 | 2018 |
| Localised kinky inference A Blaas, JM Manzano, D Limon, J Calliess 2019 18th European Control Conference (ECC), 985-992, 2019 | 14 | 2019 |
| 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 | 12 | 2022 |
| Robust design through probabilistic maximization T Alamo, JM Manzano, EF Camacho Uncertainty in Complex Networked Systems: In Honor of Roberto Tempo, 247-274, 2018 | 11 | 2018 |
| Efficient FPGA parallelization of Lipschitz interpolation for real-time decision-making JM Nadales, JM Manzano, A Barriga, D Limón IEEE Transactions on Control Systems Technology 30 (5), 2163-2175, 2022 | 10 | 2022 |
| Componentwise Hölder inference for robust learning-based MPC JM Manzano, D Muñoz de la Pena, JP Calliess, D Limon IEEE Transactions on Automatic Control, 2021 | 10 | 2021 |
| EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction M Pereira, JB Romaine, JR Salvador, Manzano, J María Brain Sciences 11 (4), 516, 2021 | 8 | 2021 |
| Online learning constrained model predictive control based on double prediction JM Manzano, D Muñoz de la Peña, J Calliess, D Limon International Journal of Robust and Nonlinear Control, 2020 | 7 | 2020 |
| Oracle-based economic predictive control JM Manzano, DM de la Peña, D Limon Computers & Chemical Engineering, 107434, 2021 | 6 | 2021 |
| Data-based Robust MPC with Componentwise Hölder Kinky Inference JM Manzano, D Limon, DM de la Peña, JP Calliess 2019 IEEE 58th Conference on Decision and Control (CDC), 6449-6454, 2019 | 5 | 2019 |
| Modelling and Identification of an Autonomous Surface Vehicle: Technical Report TA Morel, JM Manzano, G Bejarano, L Orihuela | 4 | 2022 |
| Control predictivo basado en datos JM Manzano, D Limón, T Álamo Cantarero, JP Callies Actas de las XXXVIII Jornadas de Automática, 2017 | 4 | 2017 |
| Online learning robust MPC: an exploration-exploitation approach JM Manzano, J Calliess, D Munoz de la Pena, D Limon IFAC-PapersOnLine 53 (2), 5292-5297, 2020 | 3 | 2020 |
| CHoKI-based MPC for blood glucose regulation in artificial Pancreas B Sonzogni, JM Manzano, M Polver, F Previdi, A Ferramosca IFAC-PapersOnLine 56 (2), 9672-9677, 2023 | 2 | 2023 |
| Input‐to‐state stable predictive control based on continuous projected kinky inference JM Manzano, D Muñoz de la Peña, D Limon International Journal of Robust and Nonlinear Control, 2022 | 2 | 2022 |
| Irrigation control by mimicry JM Manzano Crespo, J Bareiro, GB Cáceres Rodríguez, ... IFAC-Paper On Line 55 (32), 147-152, 2022 | 2 | 2022 |
Daniel LimonFull Professor, University of Seville (Universidad de Sevilla)Verified email at us.es
