薛祎凡

IEEE会员，CCF会员，机械工程学会、造船工程学会会员
CCF智能机器人专委委员
《机械工程学报》/Chinese Journal of Mechanical Engineering (CJME)青年编委
Journal of Ocean University of China青年编委
Science Progress 客座编辑
IEEE ICUS 2024 论坛副主席
CCF CIRAC 2023 论文副主席
“淡水水下救援机器人通用技术条件”国家标准起草组成员
“水下助推机器人通用技术要求”国家标准起草组成员
Ocean Engineering\IEEE TIV\ IEEE TAES\IEEE SMCA\Expert Systems with Applications\Mechatronics\Journal of Intelligent & Robotic System期刊审稿人

1. Xu, P., Qin, H., Ma, J., Deng, Z., & Xue, Y*. (2023). Data-driven model predictive control for ships with Gaussian process. Ocean Engineering, 268, 113420.
2. Li, X., Qin, H., Li, L., Xue, Y*. (2023). Fixed-time velocity-free safe formation control of AUVs with actuator saturation and unknown disturbances. Ocean Engineering, 285, 115361.
3. Zhu , Z., Duan, Z., Qin, H*., Xue, Y. (2023). Adaptive neural network fixed-time sliding mode control for trajectory tracking of underwater vehicle[J]. Ocean Engineering, 2023, 287: 115864.

1. Xue, Y., Chen, G., Li, Z., Xue, G., Wang, W., & Liu, Y. (2022). Online identification of a ship maneuvering model using a fast noisy input Gaussian process. Ocean Engineering, 250, 110704.
2. Liu, Y., Xue, Y., Chen, Y., Liu, W., Ge, Y., & Zhang, L. (2022). Identification of nonparametric thermodynamic model and optimization of ocean thermal energy conversion radial inflow turbine. Applied Energy, 321, 119348.
3. Chen, Y., Liu, Y., Liu, W., Ge, Y., Xue, Y., & Zhang, L. (2022). Optimal design of radial inflow turbine for ocean thermal energy conversion based on the installation angle of nozzle blade. Renewable Energy, 184, 857-870.
4. Xue, Y., Wang, X., Qin, H., & Deng, Z. (2022). Probabilistic Identification of Unmanned Surface Vehicles Using Efficient Gaussian Processes with Uncertainty Propagation. In 2022 IEEE International Conference on Unmanned Systems (ICUS) (pp. 1004-1009). IEEE.
5. Huang, S. T., Liu, Y. J., Xue, G., & Xue, Y. (2022). Hydrodynamic Response and Power Performance of A Heave and Pitch Buoy Wave Energy Converter Under Bimodal Ochi—Hubble Wave Spectrum. China Ocean Engineering, 36(1), 28-37.

1. Chen, G., Wang, W., & Xue, Y*. (2021). Identification of ship dynamics model based on sparse gaussian process regression with similarity. Symmetry, 13(10), 1956.
2. Xue, Y., Liu, Y., Xue, G., & Chen, G. (2021). Identification and prediction of ship maneuvering motion based on a Gaussian process with uncertainty propagation. Journal of Marine Science and Engineering, 9(8), 804.
3. Xue, Y., Wang, X., Liu, Y., & Xue, G. (2021, February). Real-time nonlinear model predictive control of unmanned surface vehicles for trajectory tracking and collision avoidance. In 2021 7th International Conference on Mechatronics and Robotics Engineering (ICMRE) (pp. 150-155). IEEE.
4. Liu, Y., Xue, Y., Huang, S., Xue, G., & Jing, Q. (2021). Dynamic model identification of ships and wave energy converters based on semi-conjugate linear regression and noisy input gaussian process. Journal of Marine Science and Engineering, 9(2), 194.

1. Xue, G., Liu, Y., Si, W., Xue, Y., Guo, F., & Li, Z. (2020). Evolvement rule and hydrodynamic effect of fluid field around fish-like model from starting to cruising. Engineering Applications of Computational Fluid Mechanics, 14(1), 580-592.
2. Si, W., Xue, Y., Liu, Y., Li, Z., & Xue, G. (2020). Energy Consumption Modeling and Sensitivity Analysis for Deep-Argo Otarriinae Profiling Float. Mathematical Problems in Engineering, 2020, 1-14.
3. Xue, Y., Liu, Y., Ji, C., Xue, G., & Huang, S. (2020). System identification of ship dynamic model based on Gaussian process regression with input noise. Ocean Engineering, 216, 107862.
4. Xue, Y., Liu, H., Liu, Y., & Ji, C. (2020, October). System Identification of Ship Dynamics Nonlinear Model with Free-Running Tests Based on Two Step Semiconjugate Bayesian Regression. In ISOPE International Ocean and Polar Engineering Conference (pp. ISOPE-I). ISOPE.
5. Xue, Y., Liu, Y., Ji, C., & Xue, G. (2020). Hydrodynamic parameter identification for ship manoeuvring mathematical models using a Bayesian approach. Ocean Engineering, 195, 106612.

1. Qin H, Xu P, Zhang F, Xue Y*. An improved LOS Guidance and Sail Rudder Cooperative Controller for the Path Tracking of Unmanned Sailboats. IEEE Transactions on Intelligent Vehicles, Early Access.
2. Li X, Qin H, Xue Y*. Adaptive Fixed-Time Fault-Tolerant Fuzzy Control of AUVs with Asymmetric Output Constraints. IET Intelligent Transport Systems, Early Access.
3. A Liu, Y Xue, H Qin, Z Zhu. Physics-informed identification of marine vehicle dynamics using hydrodynamic dictionary library-inspired adaptive regression. Ocean Engineering 296, 117013.
4. H Qin, N Zhou, S Han, Y Xue*. An environment information-driven online Bi-level path planning algorithm for underwater search and rescue AUV. Ocean Engineering 296, 116949.

1. Xu, P., Qin, H., Ma, J., Deng, Z., & Xue, Y*. Data-driven model predictive control for ships with Gaussian process. Ocean Engineering, 268, 113420.
2. Li, X., Qin, H., Li, L., Xue, Y*. (2023). Fixed-time velocity-free safe formation control of AUVs with actuator saturation and unknown disturbances. Ocean Engineering, 285, 115361.
3. Zhu , Z., Duan, Z., Qin, H., Xue, Y.  Adaptive neural network fixed-time sliding mode control for trajectory tracking of underwater vehicle[J]. Ocean Engineering, 2023, 287: 115864.
4. Zhang, A., Wang, Z., Qin, H., Xue,Y. Average consensus time-varying formation control of underactuated autonomous underwater vehicles based on event triggering decoupling mechanism. Ocean Engineering, 291, 116490.

1. Xue, Y., Chen, G., Li, Z., Xue, G., Wang, W., & Liu, Y.  Online identification of a ship maneuvering model using a fast noisy input Gaussian process. Ocean Engineering, 250, 110704.
2. Liu, Y., Xue, Y., Chen, Y., Liu, W., Ge, Y., & Zhang, L.  Identification of nonparametric thermodynamic model and optimization of ocean thermal energy conversion radial inflow turbine. Applied Energy, 321, 119348.
3. Chen, Y., Liu, Y., Liu, W., Ge, Y., Xue, Y., & Zhang, L.  Optimal design of radial inflow turbine for ocean thermal energy conversion based on the installation angle of nozzle blade. Renewable Energy, 184, 857-870.
4. Xue, Y., Wang, X., Qin, H., & Deng, Z.  Probabilistic Identification of Unmanned Surface Vehicles Using Efficient Gaussian Processes with Uncertainty Propagation. In 2022 IEEE International Conference on Unmanned Systems (ICUS) (pp. 1004-1009). IEEE.
5. Huang, S. T., Liu, Y. J., Xue, G., & Xue, Y. Hydrodynamic Response and Power Performance of A Heave and Pitch Buoy Wave Energy Converter Under Bimodal Ochi—Hubble Wave Spectrum. China Ocean Engineering, 36(1), 28-37.

1. Chen, G., Wang, W., & Xue, Y*. Identification of ship dynamics model based on sparse gaussian process regression with similarity. Symmetry, 13(10), 1956.
2. Xue, Y., Liu, Y., Xue, G., & Chen, G.  Identification and prediction of ship maneuvering motion based on a Gaussian process with uncertainty propagation. Journal of Marine Science and Engineering, 9(8), 804.
3. Xue, Y., Wang, X., Liu, Y., & Xue, G. Real-time nonlinear model predictive control of unmanned surface vehicles for trajectory tracking and collision avoidance. In 2021 7th International Conference on Mechatronics and Robotics Engineering (ICMRE) (pp. 150-155). IEEE.
4. Liu, Y., Xue, Y., Huang, S., Xue, G., & Jing, Q.  Dynamic model identification of ships and wave energy converters based on semi-conjugate linear regression and noisy input gaussian process. Journal of Marine Science and Engineering, 9(2), 194.

1. Xue, G., Liu, Y., Si, W., Xue, Y., Guo, F., & Li, Z.  Evolvement rule and hydrodynamic effect of fluid field around fish-like model from starting to cruising. Engineering Applications of Computational Fluid Mechanics, 14(1), 580-592.
2. Si, W., Xue, Y., Liu, Y., Li, Z., & Xue, G. Energy Consumption Modeling and Sensitivity Analysis for Deep-Argo Otarriinae Profiling Float. Mathematical Problems in Engineering, 2020, 1-14.
3. Xue, Y., Liu, Y., Ji, C., Xue, G., & Huang, S. System identification of ship dynamic model based on Gaussian process regression with input noise. Ocean Engineering, 216, 107862.
4. Xue, Y., Liu, H., Liu, Y., & Ji, C. System Identification of Ship Dynamics Nonlinear Model with Free-Running Tests Based on Two Step Semiconjugate Bayesian Regression. In ISOPE International Ocean and Polar Engineering Conference (pp. ISOPE-I). ISOPE.
5. Xue, Y., Liu, Y., Ji, C., & Xue, G. Hydrodynamic parameter identification for ship manoeuvring mathematical models using a Bayesian approach. Ocean Engineering, 195, 106612.