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Xinyi Su

Improving teaching–learning-based-optimization algorithm by a distance-fitness learning strategy
2022 · Yunlang Xu, Yi Peng, et al. · Knowledge-Based Systems · 52
Neural network adaptive sliding mode control without overestimation for a maglev system
2021 · Xinyi Su, Yunlang Xu, et al. · Mechanical Systems and Signal Processing · 48
ESS Cryogenic System Process Design
2015 · P Arnold, W Hees, et al. · IOP Conference Series Materials Science and Engineering · 28
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Fuzzy adaptive terminal sliding mode control based on recurrent neural network compensation for a maglev system
2023 · Xinyi Su, Xiaofeng Yang, et al. · Engineering Applications of Artificial Intelligence · 17
Predictive-adaptive sliding mode control method for reluctance actuator maglev system
2022 · Yunlang Xu, Chenyang Ding, et al. · Nonlinear Dynamics · 14
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Spatial Evolution Characteristics and Influencing Factors of Urban Green Innovation in China
2025 · Wenbin Peng, Xinyi Su, et al. · Chinese Geographical Science · 8
Adaptive parameter learning and neural network control for uncertain permanent magnet linear synchronous motors
2023 · Xinyi Su, Xiaofeng Yang, et al. · Journal of the Franklin Institute · 8
A composite neural network-based adaptive sliding mode control method for reluctance actuator maglev system
2023 · Xu Yunlang, Shu Feng, et al. · Neural Computing and Applications · 8
Multi-level multi-area hybrid automatic voltage control system and its trial operation in Northeast China Grid
2011 · XueMin Zhang, ShengWei Mei, et al. · Science China Technological Sciences · 6
Analytical Modelling of a Hybrid Reluctance Motor Based on Magnetic Equivalent Circuit
2023 · Xinyi Su, Xiaofeng Yang, et al. · IEEE International Conference on Industrial Technology (ICIT) · 5
A new coordinated voltage/reactive power control scheme for interconnected power systems
2010 · Xinyi Su, Guangyu He, et al. · International Power Engineering Conference · 4
Adaptive Hybrid Neural Network Sliding Mode Control of Ultrasonic Motors
2023 · Xinqiang Wang, Chenyang Ding, et al. · International Conference on Intelligent Robotics and Control Engineering (IRCE) · 3
A New Regressive RBF Neural Network Model for Rate-Dependent Hysteresis in Reluctance Actuators
2021 · Yunlang Xu, Feng Shu, et al. · International Symposium on Linear Drives for Industry Applications (LDIA) · 3
Method for detecting surface defects of runner blades of large hydraulic turbines based on improved real-time lightweight network
2021 · Cheng Liu, XinYi Su, et al. · Journal of Physics Conference Series · 3
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Dynamic Separation Model-Based Sliding Mode Control with Adaptive Neural Network Compensators for a Reluctance Actuator Motion System
2024 · Yunlang Xu, Xinyi Su, et al. · International Journal of Precision Engineering and Manufacturing · 2
A Learning-Based Method for High-Performance Tracking Control in Semiconductor Manufacturing
2026 · Peng Guo, Tianyu Chen, et al. · China Semiconductor Technology International Conference (CSTIC)
Smith Predictor-Based Adaptive Sliding Mode Control Scheme for Semiconductor Temperature Regulation
2026 · Xinyi Su, Peng Guo, et al. · China Semiconductor Technology International Conference (CSTIC)
A Hybrid Intelligent Directional Push Model for Service Platform Based on Deep Learning
2019 · Yong Shuai, Tailiang Song, et al. · IOP Conference Series Materials Science and Engineering
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Works count: 18
Citation count: 209
H-index: 8
I10-index: 5
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