| Model predictive maneuvering control and energy management for all-electric autonomous ships A Haseltalab, RR Negenborn Applied Energy 251, 113308, 2019 | 107 | 2019 |
| Multi-level predictive control for energy management of hybrid ships in the presence of uncertainty and environmental disturbances A Haseltalab, RR Negenborn, G Lodewijks IFAC-PapersOnLine 49 (3), 90-95, 2016 | 70 | 2016 |
| Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics A Haseltalab, RR Negenborn Control Engineering Practice 91, 104116, 2019 | 59 | 2019 |
| Component sizing and energy management for SOFC-based ship power systems A Haseltalab, L van Biert, H Sapra, B Mestemaker, RR Negenborn Energy Conversion and Management 245, 114625, 2021 | 57 | 2021 |
| Sizing and control of a hybrid ship propulsion system using multi-objective double-layer optimization X Wang, U Shipurkar, A Haseltalab, H Polinder, F Claeys, RR Negenborn Ieee Access 9, 72587-72601, 2021 | 38 | 2021 |
| Model Predictive DC Voltage Control for all-electric ships A Haseltalab, MA Botto, RR Negenborn Control Engineering Practice 90, 133-147, 2019 | 29 | 2019 |
| Eco-VTF: Fuel-efficient vessel train formations for all-electric autonomous ships L Chen, A Haseltalab, V Garofano, RR Negenborn 2019 18th European Control Conference (ECC), 2543-2550, 2019 | 25 | 2019 |
| Approximate byzantine consensus in faulty asynchronous networks A Haseltalab, M Akar 2015 American Control Conference (ACC), 1591-1596, 2015 | 24 | 2015 |
| Multi-level model predictive control for all-electric ships with hybrid power generation A Haseltalab, F Wani, RR Negenborn International Journal of Electrical Power & Energy Systems 135, 107484, 2022 | 19 | 2022 |
| Predictive on-board power management for all-electric ships with DC distribution architecture A Haseltalab, RR Negenborn OCEANS 2017-Aberdeen, 1-8, 2017 | 16 | 2017 |
| Convergence rate analysis of a fault-tolerant distributed consensus algorithm A Haseltalab, M Akar 2015 54th IEEE Conference on Decision and Control (CDC), 5111-5116, 2015 | 14 | 2015 |
| Model predictive trajectory tracking control and thrust allocation for autonomous vessels A Haseltalab, V Garofano, M van Pampus, RR Negenborn IFAC-PapersOnLine 53 (2), 14532-14538, 2020 | 10 | 2020 |
| Adaptive control for a class of partially unknown non-affine systems: Applied to autonomous surface vessels A Haseltalab, RR Negenborn IFAC-PapersOnLine 50 (1), 4252-4257, 2017 | 9 | 2017 |
| The collaborative autonomous shipping experiment (CASE): Motivations, theory, infrastructure, and experimental challenges A Haseltalab, V Garofano, MR Afzal, N Faggioni, S Li, J Liu, F Ma, ... Proceedings of the International Ship Control Systems Symposium 1, 2020 | 8 | 2020 |
| On-board voltage regulation for all-electric dc ships A Haseltalab, MA Botto, RR Negenborn IFAC-PapersOnLine 51 (29), 341-347, 2018 | 8 | 2018 |
| Waterborne platooning by smart vessels for smart shipping A Haseltalab, L Chen, A Colling, L Borst, V Garofano, R Hekkenberg, ... Nav. Archit 4, 55-62, 2019 | 7 | 2019 |
| Control for Autonomous All-Electric Ships A Haseltalab Delft University of Technology, 2019 | 5* | 2019 |
| Distributed leader-follower formation control for autonomous vessels based on model predictive control MJ van Pampus, A Haseltalab, V Garofano, V Reppa, YH Deinema, ... 2021 European Control Conference (ECC), 2380-2387, 2021 | 4 | 2021 |
| Computational reduction of optimal hybrid vehicle energy management C Armenta, S Delprat, RR Negenborn, A Haseltalab, J Lauber, ... IEEE Control Systems Letters 6, 25-30, 2020 | 4 | 2020 |
| BRocks 2013 Team Description ÖF Varol, O Cihan, H Esen, A Haseltalab, M Akar Proceedings of the 17th RoboCup Symposium, Eindhoven, The Netherlands, 2013 | 4 | 2013 |
Rudy R. NegenbornFull professor, Delft University of TechnologyDirección de correo verificada de tudelft.nl
