Trajectory tracking of autonomous vessels using model predictive control H Zheng, RR Negenborn, G Lodewijks IFAC Proceedings Volumes 47 (3), 8812-8818, 2014 | 138 | 2014 |
Fast ADMM for distributed model predictive control of cooperative waterborne AGVs H Zheng, RR Negenborn, G Lodewijks IEEE Transactions on Control Systems Technology 25 (4), 1406-1413, 2016 | 92 | 2016 |
Cooperative multi-vessel systems in urban waterway networks L Chen, Y Huang, H Zheng, H Hopman, R Negenborn IEEE Transactions on Intelligent Transportation Systems 21 (8), 3294-3307, 2019 | 80 | 2019 |
Predictive path following with arrival time awareness for waterborne AGVs H Zheng, RR Negenborn, G Lodewijks Transportation Research Part C: Emerging Technologies 70, 214-237, 2016 | 76 | 2016 |
Closed-loop scheduling and control of waterborne AGVs for energy-efficient inter terminal transport H Zheng, RR Negenborn, G Lodewijks Transportation Research Part E: Logistics and Transportation Review 105, 261-278, 2017 | 55 | 2017 |
Predictive path following based on adaptive line-of-sight for underactuated autonomous surface vessels C Liu, RR Negenborn, X Chu, H Zheng Journal of marine science and technology 23, 483-494, 2018 | 51 | 2018 |
Robust dynamic positioning of autonomous surface vessels with tube-based model predictive control H Zheng, J Wu, W Wu, Y Zhang Ocean Engineering 199, 106820, 2020 | 50 | 2020 |
Integrated motion and powertrain predictive control of intelligent fuel cell/battery hybrid vehicles H Zheng, J Wu, W Wu, Y Wang IEEE Transactions on Industrial Informatics 16 (5), 3397-3406, 2019 | 49 | 2019 |
Robust distributed predictive control of waterborne AGVs—A cooperative and cost-effective approach H Zheng, RR Negenborn, G Lodewijks IEEE transactions on cybernetics 48 (8), 2449-2461, 2017 | 44 | 2017 |
Neural network model-based reinforcement learning control for auv 3-d path following D Ma, X Chen, W Ma, H Zheng, F Qu IEEE Transactions on Intelligent Vehicles 9 (1), 893-904, 2023 | 42 | 2023 |
A chaos-coupled multi-objective scheduling decision method for liner shipping based on the NSGA-III algorithm W Ma, J Zhang, Y Han, H Zheng, D Ma, M Chen Computers & Industrial Engineering 174, 108732, 2022 | 37 | 2022 |
Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels C Liu, H Zheng, R Negenborn, X Chu, S Xie Asian Journal of Control 23 (1), 432-448, 2021 | 32 | 2021 |
An optimal control-based path planning method for unmanned surface vehicles in complex environments D Ma, S Hao, W Ma, H Zheng, X Xu Ocean Engineering 245, 110532, 2022 | 31 | 2022 |
Cooperative distributed predictive control for collision‐free vehicle platoons H Zheng, J Wu, W Wu, RR Negenborn IET Intelligent Transport Systems 13 (5), 816-824, 2019 | 29 | 2019 |
A state-compensation extended state observer for model predictive control C Liu, RR Negenborn, H Zheng, X Chu European Journal of Control 36, 1-9, 2017 | 28 | 2017 |
Ship route planning based on intelligent mapping swarm optimization W Ma, Y Han, H Tang, D Ma, H Zheng, Y Zhang Computers & Industrial Engineering 176, 108920, 2023 | 24 | 2023 |
Trajectory tracking control for underactuated surface vessels based on nonlinear Model Predictive Control C Liu, H Zheng, RR Negenborn, X Chu, L Wang Computational Logistics: 6th International Conference, ICCL 2015, Delft, The …, 2015 | 24 | 2015 |
Regulation aware dynamic path planning for intelligent ships with uncertain velocity obstacles H Zheng, J Zhu, C Liu, H Dai, Y Huang Ocean Engineering 278, 114401, 2023 | 19 | 2023 |
Cooperative distributed collision avoidance based on ADMM for waterborne AGVs H Zheng, RR Negenborn, G Lodewijks Computational Logistics: 6th International Conference, ICCL 2015, Delft, The …, 2015 | 14 | 2015 |
Survey of approaches for improving the intelligence of marine surface vehicles H Zheng, RR Negenborn, G Lodewijks 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 14 | 2013 |