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20122023
most citedDistributed Algorithms for Computation of Centrality Measures in Complex Networks

84 citations · 558 across the 52 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

eess.SY2022★ 2 cited

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…

math.OC2022

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…

eess.SY2022

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…

math.OC2022

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…

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…

math.OC2022

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…