1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SY2026
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…
eess.SY2024
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…
eess.SY2022★ 1 cited
Minimum Input Design for Direct Data-driven Property Identification of Unknown Linear Systems
Shubo Kang, Keyou You
In a direct data-driven approach, this paper studies the {\em property identification(ID)} problem to analyze whether an unknown linear system has a property of interest, e.g., sta…