8 citations · 25 across the 16 of their papers we have counts for
5 papers · 1 filter
Direct Adaptive Control of Grid-Connected Power Converters via Output-Feedback Data-Enabled Policy Optimization
Feiran Zhao, Ruohan Leng, Linbin Huang +3
Power electronic converters are becoming the main components of modern power systems due to the increasing integration of renewable energy sources. However, power converters may be…
Linear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking
Shubo Kang, Feiran Zhao, Keyou You
Data-enabled policy optimization (DeePO) is a newly proposed method to attack the open problem of direct adaptive LQR. In this work, we extend the DeePO framework to the linear qua…
Harnessing Data for Accelerating Model Predictive Control by Constraint Removal
Zhinan Hou, Feiran Zhao, Keyou You
Model predictive control (MPC) solves a receding-horizon optimization problem in real-time, which can be computationally demanding when there are thousands of constraints. To accel…
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
Feiran Zhao, Keyou You
Risk-aware control, though with promise to tackle unexpected events, requires a known exact dynamical model. In this work, we propose a model-free framework to learn a risk-aware c…
Suspension Regulation of Medium-low-speed Maglev Trains via Deep Reinforcement Learning
Feiran Zhao, Keyou You, Shiji Song +2
The suspension regulation is critical to the operation of medium-low-speed maglev trains (mlsMTs). Due to uncertain environment, strong disturbances and high nonlinearity of the sy…