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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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18 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…

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…

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…

eess.SY2021★ 1 cited

A Distributed Implementation of Steady-State Kalman Filter

Jiaqi Yan, Xu Yang, Yilin Mo +1

This paper studies the distributed state estimation in sensor network, where sensors are deployed to infer the -dimensional state of a linear time-invariant (LTI) Gaussian s…

eess.SY2020★ 5 cited

Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator

Feiran Zhao, Keyou You

Risk-aware control, though with promise to tackle unexpected events, requires a known exact dynamical model. In this work, we propose a model-free framework to learn a risk-aware c…

eess.SY2020★ 11 cited

The Isoline Tracking in Unknown Scalar Fields with Concentration Feedback

Fei Dong, Keyou You

The isoline tracking of this work is concerned with the control design for a sensing vehicle to track a desired isoline of an unknown scalar field. To this end, we propose a simple…