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Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
Shubo Kang, Keyou You
Direct data-driven optimal control provides an elegant end-to-end paradigm, yet its real-time applicability is often hindered by the growing dimensionality of online decision varia…
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…