Keyou You

Orcid: 0000-0003-4355-5340

According to our database1, Keyou You authored at least 144 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Data-driven output prediction and control of stochastic systems: An innovation-based approach.
Autom., 2025

2024
Data-Driven Control of Linear Systems via Quantized Feedback.
J. Syst. Sci. Complex., February, 2024

Optimal (0,1)-matrix completion with majorization ordered objectives.
Autom., February, 2024

Linear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking.
CoRR, 2024

Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence.
CoRR, 2024

Deep Reinforcement Learning for Traveling Purchaser Problems.
CoRR, 2024

Harnessing Data for Accelerating Model Predictive Control by Constraint Removal.
CoRR, 2024

Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR.
CoRR, 2024

Distributed adaptive greedy quasi-Newton methods with explicit non-asymptotic convergence bounds.
Autom., 2024

Asynchronous Block Parallel Policy Optimization for the Linear Quadratic Regulator.
Proceedings of the American Control Conference, 2024

Hybrid Model Predictive Control for Virtual Coupling of Heavy-haul Trains.
Proceedings of the American Control Conference, 2024

2023
Innovation Compression for Communication-Efficient Distributed Optimization With Linear Convergence.
IEEE Trans. Autom. Control., November, 2023

Minimum input design for direct data-driven property identification of unknown linear systems.
Autom., October, 2023

Standoff Tracking Using DNN-Based MPC With Implementation on FPGA.
IEEE Trans. Control. Syst. Technol., September, 2023

Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks.
IEEE Trans. Autom. Control., September, 2023

Global Convergence of Policy Gradient Primal-Dual Methods for Risk-Constrained LQRs.
IEEE Trans. Autom. Control., May, 2023

Coordinate-free control for the isoline tracking of an unknown scalar field.
Syst. Control. Lett., March, 2023

Minimax Q-learning control for linear systems using the Wasserstein metric.
Autom., March, 2023

A Distributed Implementation of Steady-State Kalman Filter.
IEEE Trans. Autom. Control., 2023

Fast trajectory planning for Dubins vehicles under cumulative probability of radar detection.
Signal Process., 2023

Data-Enabled Policy Optimization for the Linear Quadratic Regulator.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Adaptive Safe Backstepping for Collaborative Levitation Control of Maglev Trains with Unknown Mass.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Distributed Online Optimization in Time-Varying Unbalanced Networks Without Explicit Subgradients.
IEEE Trans. Signal Process., 2022

Smart Train Operation Algorithms Based on Expert Knowledge and Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Second-Order Conic Programming Approach for Wasserstein Distributionally Robust Two-Stage Linear Programs.
IEEE Trans Autom. Sci. Eng., 2022

Coordinate-Free Circumnavigation of a Moving Target Via a PD-Like Controller.
IEEE Trans. Aerosp. Electron. Syst., 2022

Distributionally robust chance constraint with unimodality-skewness information and conic reformulation.
Oper. Res. Lett., 2022

A Two-channel model for relation extraction using multiple trained word embeddings.
Knowl. Based Syst., 2022

Global Convergence of Policy Gradient Methods for Output Feedback Linear Quadratic Control.
CoRR, 2022

Optimal (0, 1)-Matrix Completion with Majorization Ordered Objectives (To the memory of Pravin Varaiya).
CoRR, 2022

On the Sample Complexity of Stabilizing Linear Systems via Policy Gradient Methods.
CoRR, 2022

An Exact Method for the Daily Package Shipment Problem with Outsourcing.
CoRR, 2022

Asynchronous Networked Aggregative Games.
Autom., 2022

Distributed adaptive Newton methods with global superlinear convergence.
Autom., 2022

Fully asynchronous policy evaluation in distributed reinforcement learning over networks.
Autom., 2022

Data-driven Control of Unknown Linear Systems via Quantized Feedback.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Direct data-driven stabilization of nonlinear affine systems via the Koopman operator.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Adaptive Greedy Quasi-Newton with Superlinear Rate and Global Convergence Guarantee.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Deep Neural Network Based Model Predictive Control for Standoff Tracking by a Quadrotor UAV.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Fundamental Identification Limit of Single-Input and Single-Output Linear Time-Invariant Systems.
Proceedings of the 13th Asian Control Conference, 2022

2021
Cooperative Field Prediction and Smoothing via Covariance Intersection.
IEEE Trans. Signal Process., 2021

Optimization-Based Control for Bearing-Only Target Search With a Mobile Vehicle.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Asynchronous Stochastic Gradient Descent Over Decentralized Datasets.
IEEE Trans. Control. Netw. Syst., 2021

Suspension Regulation of Medium-Low-Speed Maglev Trains Via Deep Reinforcement Learning.
IEEE Trans. Artif. Intell., 2021

Learning Stabilizing Controllers of Linear Systems via Discount Policy Gradient.
CoRR, 2021

Multi-period facility location and capacity planning under $\infty$-Wasserstein joint chance constraints in humanitarian logistics.
CoRR, 2021

The isoline tracking in unknown scalar fields with concentration feedback.
Autom., 2021

Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Networked Aggregative Games with Linear Convergence.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Infinite-horizon Risk-constrained Linear Quadratic Regulator with Average Cost.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Linearly Convergent Distributed Optimization Methods with Compressed Innovation.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Distributed Dual Gradient Tracking for Resource Allocation in Unbalanced Networks.
IEEE Trans. Signal Process., 2020

Flight Control for UAV Loitering Over a Ground Target With Unknown Maneuver.
IEEE Trans. Control. Syst. Technol., 2020

Range-Based Coordinate Alignment for Cooperative Mobile Sensor Network Localization.
IEEE Trans. Control. Netw. Syst., 2020

Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling.
IEEE Trans. Control. Netw. Syst., 2020

AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs.
IEEE Trans. Autom. Control., 2020

Wasserstein distributionally robust shortest path problem.
Eur. J. Oper. Res., 2020

Data-driven Distributionally Robust Optimal Stochastic Control Using theWasserstein Metric.
CoRR, 2020

Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields.
CoRR, 2020

Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning.
CoRR, 2020

Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks.
CoRR, 2020

Distributed Adaptive Newton Methods with Globally Superlinear Convergence.
CoRR, 2020

Circumnavigating a Moving Target with Range-only Measurements.
CoRR, 2020

Cooperative source seeking via networked multi-vehicle systems.
Autom., 2020

Target encirclement with any smooth pattern using range-based measurements.
Autom., 2020

Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Step Subgradient Methods for Distributed Optimization over Unbalanced Digraphs with Local Constraint Sets.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Batch CI-Based Kalman Smoother for PM2.5 Source Localization.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Asynchronous Stochastic Gradient Descent over Decentralized Datasets.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Achieving Globally Superlinear Convergence for Distributed Optimization with Adaptive Newton Method.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Depth Control of Model-Free AUVs via Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Bayesian Filtering With Unknown Sensor Measurement Losses.
IEEE Trans. Control. Netw. Syst., 2019

Consensusability of Discrete-Time Multiagent Systems With Communication Delay and Packet Dropouts.
IEEE Trans. Autom. Control., 2019

Distributed Discrete-Time Optimization in Multiagent Networks Using Only Sign of Relative State.
IEEE Trans. Autom. Control., 2019

Distributed Algorithms for Robust Convex Optimization via the Scenario Approach.
IEEE Trans. Autom. Control., 2019

Distributed range-free localization via hierarchical nonconvex constrained optimization.
Signal Process., 2019

A selected review on reinforcement learning based control for autonomous underwater vehicles.
CoRR, 2019

Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks.
CoRR, 2019

Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization.
CoRR, 2019

Target Encirclement with any Smooth Pattern Using Range-only Measurements.
CoRR, 2019

Asynchronous Decentralized Optimization in Directed Networks.
CoRR, 2019

End-to-end sensorimotor control problems of AUVs with deep reinforcement learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Setpoint Tracking for the Suspension System of Medium-Speed Maglev Trains via Reinforcement Learning.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Data-Driven Distributionally Robust Shortest Path Problem Using the Wasserstein Ambiguity Set.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Circumnavigation of an Unknown Target Using Range-only Measurements in GPS-denied Environments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Feedback-Feedforward Control Approach to Distributed Optimization.
Proceedings of the 2019 American Control Conference, 2019

2018
Robust Longitudinal Control of Multi-Vehicle Systems - A Distributed H-Infinity Method.
IEEE Trans. Intell. Transp. Syst., 2018

Likelihood Ratio-Based Scheduler for Secure Detection in Cyber Physical Systems.
IEEE Trans. Control. Netw. Syst., 2018

Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs.
IEEE Trans. Autom. Control., 2018

AUV Based Source Seeking with Estimated Gradients.
J. Syst. Sci. Complex., 2018

Parallel Optimal Control for Cooperative Automation of Large-scale Connected Vehicles via ADMM.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Distributed Extremum Seeking with Stochastic Perturbations.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

Distributed Optimization with Binary Relative Information over Deterministically Time-varying Graphs.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed discrete-time optimization by exchanging one bit of information.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Distributed Algorithms for Computation of Centrality Measures in Complex Networks.
IEEE Trans. Autom. Control., 2017

Relevance vector machines using weighted expected squared distance for ore grade estimation with incomplete data.
Int. J. Mach. Learn. Cybern., 2017

Distributed Random-Fixed Projected Algorithm for Constrained Optimization Over Digraphs.
CoRR, 2017

Stochastic source seeking with forward and angular velocity regulation.
Autom., 2017

Maneuvering target tracking and motion estimation using vision-aid particle filter.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Ordering control in multi-stage multi-item supply chain with stochastic demand.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

Cooperative localization for autonomous underwater vehicles using parallel projection.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

How to stop consensus algorithms, locally ?
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
3-D Velocity Regulation for Nonholonomic Source Seeking Without Position Measurement.
IEEE Trans. Control. Syst. Technol., 2016

Networked Parallel Algorithms for Robust Convex Optimization via the Scenario Approach.
CoRR, 2016

Unsupervised learning of Dirichlet process mixture models with missing data.
Sci. China Inf. Sci., 2016

Quantized identification of ARMA systems with colored measurement noise.
Autom., 2016

Second-order consensus of multi-agent systems under limited interaction ranges.
Autom., 2016

A source-seeking strategy for an autonomous underwater vehicle via on-line field estimation.
Proceedings of the 14th International Conference on Control, 2016

A networked parallel algorithm for solving linear algebraic equations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Parallel algorithms for robust convex programs over networks.
Proceedings of the 2016 American Control Conference, 2016

State of charge estimation of lithium-ion batteries with unknown model parameters.
Proceedings of the 2016 American Control Conference, 2016

2015
Optimal Parameter Estimation Under Controlled Communication Over Sensor Networks.
IEEE Trans. Signal Process., 2015

Trends in extreme learning machines: A review.
Neural Networks, 2015

Dual active set method for support vector machines under multi-constraint activation.
Neurocomputing, 2015

Recursive algorithms for parameter estimation with adaptive quantizer.
Autom., 2015

Stability of MMSE state estimators over lossy networks using linear coding.
Autom., 2015

Stability conditions for multi-sensor state estimation over a lossy network.
Autom., 2015

Identification of a gain system with binary input and output measurements.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Randomized incremental algorithms for the PageRank computation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimization-based state estimation under bounded disturbances.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stochastic packet scheduling for optimal parameter estimation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Consensus design for continuous-time multi-agent systems with communication delay.
J. Syst. Sci. Complex., 2014

Likelihood ratio based communication for distributed detection.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

2013
Asymptotically Optimal Parameter Estimation With Scheduled Measurements.
IEEE Trans. Signal Process., 2013

Kalman Filtering With Scheduled Measurements.
IEEE Trans. Signal Process., 2013

Optimal Mobile Sensor Scheduling for a Guaranteed Coverage Ratio in Hybrid Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2013

Consensus condition for linear multi-agent systems over randomly switching topologies.
Autom., 2013

Identification of ARMA models using intermittent and quantized output observations.
Autom., 2013

Synchronization of discrete-time multi-agent systems on graphs using Riccati design.
Autom., 2013

Stability of the Kalman filtering with two periodically switching sensors over lossy networks.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Kalman filtering with intermittent observations using measurements coding.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Average strategy fictitious play with application to road pricing.
Proceedings of the American Control Conference, 2013

2012
Robust Support Vector Regression for Uncertain Input and Output Data.
IEEE Trans. Neural Networks Learn. Syst., 2012

Road Pricing for Spreading Peak Travel: Modeling and Design
CoRR, 2012

Synchronization of discrete-time multi-agent systems on graphs using H2-Riccati design.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Network Topology and Communication Data Rate for Consensusability of Discrete-Time Multi-Agent Systems.
IEEE Trans. Autom. Control., 2011

Minimum Data Rate for Mean Square Stabilizability of Linear Systems With Markovian Packet Losses.
IEEE Trans. Autom. Control., 2011

Attainability of the minimum data rate for stabilization of linear systems via logarithmic quantization.
Autom., 2011

Mean square stability for Kalman filtering with Markovian packet losses.
Autom., 2011

Consensus for general multi-agent systems over random graphs.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

2010
Minimum Data Rate for Mean Square Stabilization of Discrete LTI Systems Over Lossy Channels.
IEEE Trans. Autom. Control., 2010

A consensus approach to the assignment problem: Application to mobile sensor dispatch.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Consensusability of discrete-time multi-agent systems via relative output feedback.
Proceedings of the 11th International Conference on Control, 2010

2009
Optimality of the logarithmic quantizer for stabilization of linear systems: Achieving the minimum data rate.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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