3 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SY2023★ 2 cited
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy
Zhenxiao Yin, Xiaobing Dai, Zewen Yang +3
The growing demand for accurate control in varying and unknown environments has sparked a corresponding increase in the requirements for power supply components, including permanen…
eess.SY2023★ 3 cited
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
Xiaobing Dai, Armin Lederer, Zewen Yang +1
When the dynamics of systems are unknown, supervised machine learning techniques are commonly employed to infer models from data. Gaussian process (GP) regression is a particularly…
eess.SY2023
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
Xiaobing Dai, Huanzhuo Wu, Siyi Wang +4
Many applications involve humans in the loop, where continuous and accurate human motion monitoring provides valuable information for safe and intuitive human-machine interaction.…