2019

Yin, Xiuxing and Zhao, Xiaowei (2019) ADV preview based nonlinear predictive control for maximizing power generation of a tidal turbine with hydrostatic transmission. IEEE Transactions on Energy Conversion . doi:10.1109/TEC.2019.2938062

Yin, Xiuxing and Zhao, Xiaowei (2019) Big data driven multi-objective predictions for offshore wind farm based on machine learning algorithms. Energy, 186 . 115704. doi:10.1016/j.energy.2019.07.034

Yin, Xiuxing and Zhao, Xiaowei (2019) Composite hierarchical pitch angle control for a tidal turbine based on the uncertainty and disturbance estimator. IEEE Transactions on Industrial Electronics . pp. 1-11. doi:10.1109/TIE.2019.2896261

Yin, Xiuxing , Tong, Xin, Zhao, Xiaowei and Karcanias, Aris (2019) Maximum power generation control of a hybrid wind turbine transmission system based on H∞ loop-shaping approach. IEEE Transactions on Sustainable Energy . p. 1. doi:10.1109/TSTE.2019.2897549

Yin, Xiuxing and Zhao, Xiaowei (2019) Sensor-less maximum power extraction control of a hydrostatic tidal turbine based on adaptive extreme learning machine. IEEE Transactions on Sustainable Energy . p. 1. doi:10.1109/TSTE.2019.2894064 (In Press)

2018

Yin, Xiuxing , Lei, Meizhen and Pan, Haipeng (2018) Direct optimal power extraction control for a tidal turbine system based on fuzzy power tuning. Ocean Engineering , 170 . pp. 426-433. doi:10.1016/j.oceaneng.2018.05.044

Yin, Xiuxing , Zhang, Wencan and Zhao, Xiaowei (2018) Current status and future prospects of continuously variable speed wind turbines: A systematic review. Mechanical Systems and Signal Processing, 120 . pp. 326-340. doi:10.1016/j.ymssp.2018.05.063

Yin, Xiuxing and Pan, Li (2018) Enhancing trajectory tracking accuracy for industrial robot with robust adaptive control. Robotics and Computer-Integrated Manufacturing, 51 . pp. 97-102. doi:10.1016/j.rcim.2017.11.007

2017

Yin, Xiuxing (2017) An up to date review of continuously variable speed wind turbines with mechatronic variable transmissions. International Journal of Energy Research, 42 (4). pp. 1442-1454. doi:10.1002/er.3908