| Robust distributed cruise control of multiple high-speed trains based on disturbance observer X Wang, L Zhu, H Wang, T Tang, K Li IEEE Transactions on Intelligent Transportation Systems 22 (1), 267-279, 2019 | 94 | 2019 |
| A DQN-based intelligent control method for heavy haul trains on long steep downhill section W Liu, S Su, T Tang, X Wang Transportation Research Part C: Emerging Technologies 129, 103249, 2021 | 82 | 2021 |
| Robust control for dynamic train regulation in fully automatic operation system under uncertain wireless transmissions X Wang, S Su, Y Cao, X Wang IEEE Transactions on Intelligent Transportation Systems 23 (11), 20721-20734, 2022 | 58 | 2022 |
| Event-triggered predictive control for automatic train regulation and passenger flow in metro rail systems X Wang, S Li, T Tang, L Yang IEEE Transactions on Intelligent Transportation Systems 23 (3), 1782-1795, 2020 | 54 | 2020 |
| Adaptive preventive maintenance for flow shop scheduling with resumable processing H Ye, X Wang, K Liu IEEE Transactions on Automation Science and Engineering 18 (1), 106-113, 2020 | 49 | 2020 |
| Intelligent operation of heavy haul train with data imbalance: A machine learning method X Wang, S Li, T Tang, X Wang, J Xun Knowledge-based systems 163, 36-50, 2019 | 48 | 2019 |
| Robust fuzzy predictive control for automatic train regulation in high-frequency metro lines X Wang, S Li, S Su, T Tang IEEE Transactions on Fuzzy Systems 27 (6), 1295-1308, 2018 | 43 | 2018 |
| Optimal control of heavy haul train based on approximate dynamic programming X Wang, T Tang, H He Advances in mechanical engineering 9 (4), 1687814017698110, 2017 | 32 | 2017 |
| Periodically intermittent cruise control of heavy haul train with uncertain parameters X Wang, S Li, T Tang Journal of the Franklin Institute 356 (13), 6989-7008, 2019 | 24 | 2019 |
| Dynamic speed trajectory generation and tracking control for autonomous driving of intelligent high-speed trains combining with deep learning and backstepping control methods X Wang, S Li, Y Cao, T Xin, L Yang Engineering Applications of Artificial Intelligence 115, 105230, 2022 | 23 | 2022 |
| Optimal operation of high-speed train based on fuzzy model predictive control X Wang, T Tang Advances in mechanical engineering 9 (3), 1687814017693192, 2017 | 23 | 2017 |
| Robust optimal predictive control of heavy haul train under imperfect communication X Wang, S Li, T Tang ISA transactions 91, 52-65, 2019 | 21 | 2019 |
| A learning based intelligent train regulation method with dynamic prediction for the metro passenger flow L Zhu, C Shen, X Wang, H Liang, H Wang, T Tang IEEE Transactions on Intelligent Transportation Systems 24 (4), 3935-3948, 2022 | 20 | 2022 |
| Robust efficient cruise control for high-speed train movement based on the self-triggered mechanism S Li, X Wang, L Yang, T Tang Transportation Research Part C: Emerging Technologies 128, 103141, 2021 | 20 | 2021 |
| Formation control for virtual coupling trains with parametric uncertainty and unknown disturbances W Xi, M Hu, H Wang, H Dong, Z Ying IEEE Transactions on Circuits and Systems II: Express Briefs 70 (9), 3429-3433, 2023 | 18 | 2023 |
| 基于 UML 的列控系统车载人机界面设计和实现 王悉， 唐涛 系统仿真学报 18 (2), 338-342, 2006 | 17 | 2006 |
| Robust efficient cruise control for heavy haul train via the state-dependent intermittent control X Wang, S Li, T Tang Nonlinear Analysis: Hybrid Systems 38, 100918, 2020 | 16 | 2020 |
| Optimal control of heavy haul train on steep downward slope X Wang, T Tang 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 15 | 2016 |
| Robust cruise control for the heavy haul train subject to disturbance and actuator saturation X Wang, S Su, Y Cao, L Qin, W Liu IEEE Transactions on Intelligent Transportation Systems 24 (8), 8003-8013, 2023 | 14 | 2023 |
| 2 取 2 乘 2 安全计算机平台的设计与实现 王悉， 马连川， 袁彬彬 都市快轨交通 24 (4), 17-21, 2011 | 11 | 2011 |
Hongwei WangFaculty of Beijing Jiaotong UniversityVahvistettu sähköpostiosoite verkkotunnuksessa bjtu.edu.cn
