84 citations · 558 across the 52 of their papers we have counts for
5 papers · 2 filters
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…
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…
Convergence and Sample Complexity of Policy Gradient Methods for Stabilizing Linear Systems
Feiran Zhao, Xingyun Fu, Keyou You
System stabilization via policy gradient (PG) methods has drawn increasing attention in both control and machine learning communities. In this paper, we study their convergence and…
Data-driven Control of Unknown Linear Systems via Quantized Feedback
Feiran Zhao, Xingchen Li, Keyou You
Control using quantized feedback is a fundamental approach to system synthesis with limited communication capacity. In this paper, we address the stabilization problem for unknown…
Distributed Online Optimization in Time-Varying Unbalanced Networks without Explicit Subgradients
Yongyang Xiong, Xiang Li, Keyou You +1
This paper studies a distributed online constrained optimization problem over time-varying unbalanced digraphs without explicit subgradients. In sharp contrast to the existing algo…