84 citations · 558 across the 52 of their papers we have counts for
53 papers
Data-enabled Policy Optimization for the Linear Quadratic Regulator
Feiran Zhao, Florian Dörfler, Keyou You
Policy optimization (PO), an essential approach of reinforcement learning for a broad range of system classes, requires significantly more system data than indirect (identification…
Standoff Tracking Using DNN-Based MPC with Implementation on FPGA
Fei Dong, Xingchen Li, Keyou You +1
This work studies the standoff tracking problem to drive an unmanned aerial vehicle (UAV) to slide on a desired circle over a moving target at a constant height. We propose a novel…
Globally Convergent Policy Gradient Methods for Linear Quadratic Control of Partially Observed Systems
Feiran Zhao, Xingyun Fu, Keyou You
While the optimization landscape of policy gradient methods has been recently investigated for partially observed linear systems in terms of both static output feedback and dynamic…
Optimal -Matrix Completion with Majorization Ordered Objectives (To the memory of Pravin Varaiya)
Yanfang Mo, Wei Chen, Keyou You +1
We propose and examine two optimal -matrix completion problems with majorization ordered objectives. They elevate the seminal study by Gale and Ryser from feasibility to opt…
Data-Driven Output Prediction and Control of Stochastic Systems: An Innovation-Based Approach
Yibo Wang, Keyou You, Dexian Huang +1
Recent years have witnessed a booming interest in data-driven control of dynamical systems. However, the implicit data-driven output predictors are vulnerable to uncertainty such a…
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…