Faculty

Institution

Unit

Venue

Yijing Xie

University of Texas at Arlington

Affiliations

College of Engineering

Electrical Engineering

NoneYijing Xie is currently serving as a College Of Engineering faculty at University of Texas At Arlington.

Honors

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Experiences

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Education

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Yijing Xie

University of Texas at Arlington

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systems engineering control systems automatic control dynamical systems stability control system technology multiagent systems linear control distributed systems distributed coordination applied mathematics networked control robust control machine learning mathematical control theory decentralised system event-triggered bounded controls stable linear systems actuator saturation control optimization discrete event systems global leader-following consensus bounded controls distributed control systems stabilization technique linear systems distributed intelligence event-triggered global stabilization suboptimal output consensus output average tracking external disturbances global optimal consensus electrical engineering engineering electric power systems cyber-physical systems electrical grids smart grid swarm intelligence cybernetics robust nonlinear control nonlinear dynamics multi-agent learning power system control distributed energy systems distributed energy generation dc microgrids state observer controllability time delay systems distributed parameter systems autonomous agent systems nonlinear control control technology control engineering distributed computing distributed learning distributed artificial intelligence distributed processing survivable network distributed problem solving synchronization protocol event-triggered control laws zeno behavior time delay general linear systems concise overview grid resilience

Notable Scholarly Works

Notable Federal Grants

Collaborators

Distributed Multi-Leader Formation Tracking Within a Weight-Unbalanced Directed Network of Multiple Agents. (2024)

Erin ButlerYijing XieZongli Lin

multiple agentsweight-unbalanced directed networkdistributed systemsdistributed intelligencemulti-leader formationmultiagent systems

Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications. IEEE/CAA Journal of Automatica Sinica (2024)

Yijing XieYichen ZhangWei-Jen LeeZongli LinYacov A. Shamash

systems engineeringconcise overviewgrid resilienceelectrical engineeringenergy managementengineering

Communication-Efficient and Resilient Distributed Q -Learning. IEEE Transactions on Neural Networks and Learning Systems (2023)

Yijing XieShaoshuai MouShreyas Sundaram

distributed systemscommunicationdistributed computingdistributed learningresiliencedistributed artificial intelligencedistributed processingmachine learningsurvivable network

Distributed Dynamic Event-Triggered Communication Mechanisms for Dynamic Average Consensus. (2023)

Yangyang QianYijing XieZongli LinYan WanYacov A. Shamash

dynamic average consensussystems engineeringmachine learningdistributed intelligence

Off-Policy Inverse Q-Learning for Discrete-Time Antagonistic Unknown Systems. Automatica (2023)

Bosen LianWenqian XueYijing XieFrank L. LewisAli Davoudi

off-policy inverse q-learningcomputer scienceautomatic controlmachine learning

Semi-Global Weighted Output Average Tracking of Discrete-Time Heterogeneous Multi-Agent Systems Subject to Input Saturation and External Disturbances. Control Theory and Technology (2023)

Qilin SongYuanlong LiYijing XieZongli Lin

systems engineeringcontrol systemsoutput average trackingcontrol technologycontrol engineeringexternal disturbances

Semi‐Global Weighted Output Average Tracking of Heterogeneous Multi‐Agent Systems in the Presence of Actuator Saturation and External Disturbances. International Journal of Robust and Nonlinear Control (2022)

Qilin SongYijing XieZongli Lin

systems engineeringcontrol systemsoutput average trackingheterogeneous multi-agent systemsrobust controlrobust nonlinear controlactuator saturationnonlinear controlexternal disturbances

Suboptimal Output Consensus of a Group of Discrete-Time Heterogeneous Linear Non-Minimum Phase Systems. Systems & Control Letters (2022)

Tingyang MengYijing XieZongli Lin

systems engineeringcontrol systemscontrol system technologynonlinear systemsdynamical systemslinear controlsuboptimal output consensusapplied mathematicsnonlinear dynamics

Towards Resilience for Multi-Agent Qd-Learning. 2021 60th IEEE Conference on Decision and Control (CDC) (2021)

Yijing XieShaoshuai MouShreyas Sundaram

systems engineeringartificial intelligencemulti-agent qd-learningresiliencestabilitymachine learning

Consensus of Linear Multi-Agent Systems in the Presence of Bounded Measurement Noises. (2020)

Tingyang MengYijing XieZongli Lin

networked controlbounded noisesdistributed systemsdistributed coordinationstatic -consensus problemdecentralised systemcomplex systemsdistributed problem solvingsynchronization protocolmultiagent systemslinear multi-agent systems

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Yijing Xie

University of Texas at Arlington

Affiliations

College of Engineering

Electrical Engineering

NoneYijing Xie is currently serving as a College Of Engineering faculty at University of Texas At Arlington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yijing Xie

University of Texas at Arlington

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Distributed Multi-Leader Formation Tracking Within a Weight-Unbalanced Directed Network of Multiple Agents. (2024)

Erin ButlerYijing XieZongli Lin

multiple agentsweight-unbalanced directed networkdistributed systemsdistributed intelligencemulti-leader formationmultiagent systems

Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications. IEEE/CAA Journal of Automatica Sinica (2024)

Yijing XieYichen ZhangWei-Jen LeeZongli LinYacov A. Shamash

systems engineeringconcise overviewgrid resilienceelectrical engineeringenergy managementengineering

Communication-Efficient and Resilient Distributed Q -Learning. IEEE Transactions on Neural Networks and Learning Systems (2023)

Yijing XieShaoshuai MouShreyas Sundaram

distributed systemscommunicationdistributed computingdistributed learningresiliencedistributed artificial intelligencedistributed processingmachine learningsurvivable network

Distributed Dynamic Event-Triggered Communication Mechanisms for Dynamic Average Consensus. (2023)

Yangyang QianYijing XieZongli LinYan WanYacov A. Shamash

dynamic average consensussystems engineeringmachine learningdistributed intelligence

Off-Policy Inverse Q-Learning for Discrete-Time Antagonistic Unknown Systems. Automatica (2023)

Bosen LianWenqian XueYijing XieFrank L. LewisAli Davoudi

off-policy inverse q-learningcomputer scienceautomatic controlmachine learning

Semi-Global Weighted Output Average Tracking of Discrete-Time Heterogeneous Multi-Agent Systems Subject to Input Saturation and External Disturbances. Control Theory and Technology (2023)

Qilin SongYuanlong LiYijing XieZongli Lin

systems engineeringcontrol systemsoutput average trackingcontrol technologycontrol engineeringexternal disturbances

Qilin SongYijing XieZongli Lin

systems engineeringcontrol systemsoutput average trackingheterogeneous multi-agent systemsrobust controlrobust nonlinear controlactuator saturationnonlinear controlexternal disturbances

Suboptimal Output Consensus of a Group of Discrete-Time Heterogeneous Linear Non-Minimum Phase Systems. Systems & Control Letters (2022)

Tingyang MengYijing XieZongli Lin

systems engineeringcontrol systemscontrol system technologynonlinear systemsdynamical systemslinear controlsuboptimal output consensusapplied mathematicsnonlinear dynamics

Towards Resilience for Multi-Agent Qd-Learning. 2021 60th IEEE Conference on Decision and Control (CDC) (2021)

Yijing XieShaoshuai MouShreyas Sundaram

systems engineeringartificial intelligencemulti-agent qd-learningresiliencestabilitymachine learning

Consensus of Linear Multi-Agent Systems in the Presence of Bounded Measurement Noises. (2020)

Tingyang MengYijing XieZongli Lin

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control system technology

control science

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University of Illinois Urbana-Champaign

technology

systems engineering

Ji Liu

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network science

biocybernetics

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University of Southern California

general system

intelligent systems

Hai Lin

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University of Notre Dame

industrial automation

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Vijay Gupta

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systems modeling

data security

Takashi Tanaka

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systems modeling

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