| Incorporating approximate dynamics into data-driven calibrator: A representative model for ship maneuvering prediction T Wang, G Li, LI Hatledal, R Skulstad, V Æsøy, H Zhang IEEE Transactions on Industrial Informatics 18 (3), 1781-1789, 2021 | 32 | 2021 |
| Parameter identification of ship manoeuvring model under disturbance using support vector machine method T Wang, G Li, B Wu, V Æsøy, H Zhang Ships and Offshore Structures 16 (sup1), 13-21, 2021 | 29 | 2021 |
| A digital twin of the research vessel gunnerus for lifecycle services: Outlining key technologies H Zhang, G Li, LI Hatledal, Y Chu, A Ellefsen, P Han, P Major, R Skulstad, ... IEEE Robotics & Automation Magazine 30 (3), 6-19, 2022 | 20 | 2022 |
| Sailing status recognition to enhance safety awareness and path routing for a commuter ferry B Wu, G Li, T Wang, HP Hildre, H Zhang Ships and Offshore Structures 16 (sup1), 1-12, 2021 | 9 | 2021 |
| A co-operative hybrid model for ship motion prediction R Skulstad, G Li, TI Fossen, T Wang, H Zhang | 8 | 2021 |
| Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction M Kanazawa, T Wang, R Skulstad, G Li, H Zhang Ocean Engineering 266, 112998, 2022 | 4 | 2022 |
| Knowledge transfer strategy for enhancement of ship maneuvering model T Wang, R Skulstad, M Kanazawa, G Li, H Zhang Ocean Engineering 283, 115122, 2023 | 3 | 2023 |
| Adaptive data-driven predictor of ship maneuvering motion under varying ocean environments T Wang, R Skulstad, M Kanazawa, LI Hatledal, G Li, H Zhang International Symposium on Leveraging Applications of Formal Methods, 110-125, 2022 | 3 | 2022 |
| Physics-informed Data-driven Approach for Ship Docking Prediction T Wang, R Skulstad, M Kanazawa, G Li, V Æsøy, H Zhang 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2022 | 3 | 2022 |
| A physics-data co-operative ship dynamic model for a docking operation M Kanazawa, R Skulstad, T Wang, G Li, LI Hatledal, H Zhang IEEE Sensors Journal 22 (11), 11173-11183, 2022 | 3 | 2022 |
| Ship maneuvering model optimization for improved identification with less excitation S Li, T Wang, G Li, H Zhang Ocean Engineering 280, 114540, 2023 | 1 | 2023 |
| Physics-data cooperative ship motion prediction with onboard wave radar for safe operations M Kanazawa, T Wang, R Skulstad, G Li, H Zhang 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), 1-8, 2023 | 1 | 2023 |
| Bridging similar ships’ dynamics for safeguarding the system identification of maneuvering models M Kanazawa, T Wang, Y Ichinose, R Skulstad, G Li, H Zhang Ocean Engineering 280, 114874, 2023 | | 2023 |
| Ship manoeuvring model identification under wind disturbance M Zhu, T Wang, H Zhang, G Li 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2022 | | 2022 |
| Uncertainty and sensitivity analysis for the performance evaluation of ship dynamical model C Wang, T Wang, TS Nord, H Zhang, G Li, O Osen ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-22-338, 2022 | | 2022 |
| Physics-data Cooperative Modeling for Ship Motion Prediction T Wang NTNU, 2022 | | 2022 |
| Effect of Ship Propulsion Retrofit on Maneuverability Research Based on Co-simulation T Wang, LI Hatledal, M Kanazawa, G Li, H Zhang International Conference on Software Engineering and Formal Methods, 189-203, 2021 | | 2021 |
| An effective model-based thruster failure detection method for dynamically positioned ships T Wang, G Li, R Skulstad, V Æsøy, H Zhang 2020 IEEE International Conference on Mechatronics and Automation (ICMA …, 2020 | | 2020 |
| Informative Physics Knowledge Transfer to Enhance Data-Driven Ship Trajectory Prediction T Wang, R Skulstad, M Kanazawa, G Li, H Zhang Available at SSRN 4349126, 0 | | |
Houxiang ZhangProfessor, Intelligent Systems Lab, Norwegian University of Science and TechnologyVerified email at ntnu.no
