Faculty

Institution

Unit

Venue

Yongcan Cao

Associate Professor

University of Texas at San Antonio

Affiliations

Margie and Bill Klesse College of Engineering & Integrated Design

Electrical & Computer Engineering

School of Architecture & Planning

Yongcan Cao is currently serving as an Electrical & Computer Engineering Associate Professor at University of Texas At San Antonio.

Honors

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Experiences

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Education

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Yongcan Cao

University of Texas at San Antonio

Associate Professor

You can click a keyword to filter the displayed items

systems engineering automatic control aerospace engineering control systems machine learning computer science robotics artificial intelligence unmanned aerial vehicles control engineering electrical engineering navigation control science control technology guidance system network science aerial robotics cybernetics control system technology aeronautics command and control computer vision nonlinear control adaptive control fault-tolerant control finite-time consensus control optimization distributed coordination robust control deep reinforcement learning double-integrator dynamics event-triggered consensus vehicular technology object tracking vehicle control mathematical control theory state estimation trajectory planning containment control general linear dynamics limited communication unknown target multi-agent coordination communication delays industrial informatics robust nonlinear control unmanned aircraft systems computational intelligence trajectory optimization control management robot control adaptive fault-tolerant control multi-agent consensus power electronics bayesian analysis information fusion swarm intelligence distributed intelligence control design linear control tracking systems fractional-order systems autonomous navigation tracking control spacecraft attitude control aerospace technology multiple autonomous vehicles input delays leader-following consensus event-triggered cooperative control directed interaction graph electronics scientific computing soft computing decentralised system automatic navigation

Notable Scholarly Works

Notable Federal Grants

Collaborators

3D Guidance Law for Flexible Target Enclosing With Inherent Safety. IEEE Robotics and Automation Letters (2025)

Praveen Kumar RanjanAbhinav SinhaYongcan Cao

active controlsystems engineeringcontrol systemsstructural controlsafetycyber-physical systemsrobotics automationroboticsautomationguidance lawautomatic controltrajectory planningaerospace engineeringflexible targetsafety engineeringsystem safetyengineering

A Reinforcement Learning Approach to Target Capture in the Presence of a Defender. AIAA SCITECH 2022 Forum (2025)

Suraj R. BandelaAbhinav SinhaYongcan Cao

reinforcement learningcontrol optimizationengineeringaerospace engineering

Relational Maneuvering Guidance Strategy for Leader-Follower Flexible Formation in Three Dimensions. AIAA SCITECH 2022 Forum (2025)

Praveen Kumar RanjanAbhinav SinhaYongcan Cao

formation flyingactive controlsystems engineeringcontrol systemsaircraftnavigationguidance systemleader-follower flexible formationcontrol optimizationtrajectory optimizationautomatic controltrajectory planningaerospace engineeringunmanned aircraft systemsengineeringcontrol strategies

3D Guidance Law for Maximal Coverage and Target Enclosing With Inherent Safety. arXiv (Cornell University) (2024)

Ranjan, Praveen KumarSinha, AbhinavCao, Yongcan

systems engineeringnavigationguidance systemaerospace engineeringguidance lawapplied physicsmaximal coverage

Adaptive Event-Triggered Reinforcement Learning Control for Complex Nonlinear Systems. arXiv (Cornell University) (2024)

Siddique, UmerSinha, AbhinavCao, Yongcan

systems engineeringcomplex nonlinear systemscontrol optimizationreinforcement learninglearning controladaptive event-triggered reinforcementadaptive control

Deep Reinforcement Learning-Based Optimal Time-Constrained Intercept Guidance. AIAA SCITECH 2022 Forum (2024)

Abhinav SinhaDevin WhiteYongcan Cao

engineering optimizationguidance systemartificial intelligencereinforcement learningaerospace engineeringmachine learningdeep reinforcement learning

Offline Reinforcement Learning With Failure Under Sparse Reward Environments. (2024)

Mingkang WuUmer SiddiqueAbhinav SinhaYongcan Cao

cognitive neurosciencesparse reward environmentsreinforcement learningreward systemsneuroscience

On Deep Reinforcement Learning for Target Capture Autonomous Guidance. AIAA SCITECH 2022 Forum (2024)

Umer SiddiqueAbhinav SinhaYongcan Cao

machine intelligencesystems engineeringcomputer visionartificial intelligencereinforcement learningautomatic controlaerospace engineeringmachine learningdeep reinforcement learning

Rating-Based Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Devin WhiteMingkang WuEllen NovosellerVernon J. LawhernNicholas WaytowichYongcan Cao

rating-based reinforcement learningreinforcement learningartificial intelligencebehavioral sciences

Relational Maneuvering of Leader-Follower Unmanned Aerial Vehicles for Flexible Formation. IEEE Transactions on Cybernetics (2024)

Praveen Kumar RanjanAbhinav SinhaYongcan CaoDavid CasbeerIsaac Weintraub

unmanned aerial vehiclesautonomous robotscontrol systemsswarm roboticsdronesaerospace engineeringcollective motionrelational maneuveringmechanical engineeringroboticsautomatic controlcyberneticsaerial roboticstrajectory planningmultiagent systemsactive controlsystems engineeringflexible formationunmanned aircraft systemsflying robot

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Yongcan Cao

Associate Professor

University of Texas at San Antonio

Affiliations

Margie and Bill Klesse College of Engineering & Integrated Design

Electrical & Computer Engineering

School of Architecture & Planning

Yongcan Cao is currently serving as an Electrical & Computer Engineering Associate Professor at University of Texas At San Antonio.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yongcan Cao

University of Texas at San Antonio

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

3D Guidance Law for Flexible Target Enclosing With Inherent Safety. IEEE Robotics and Automation Letters (2025)

Praveen Kumar RanjanAbhinav SinhaYongcan Cao

A Reinforcement Learning Approach to Target Capture in the Presence of a Defender. AIAA SCITECH 2022 Forum (2025)

Suraj R. BandelaAbhinav SinhaYongcan Cao

reinforcement learningcontrol optimizationengineeringaerospace engineering

Relational Maneuvering Guidance Strategy for Leader-Follower Flexible Formation in Three Dimensions. AIAA SCITECH 2022 Forum (2025)

Praveen Kumar RanjanAbhinav SinhaYongcan Cao

3D Guidance Law for Maximal Coverage and Target Enclosing With Inherent Safety. arXiv (Cornell University) (2024)

Ranjan, Praveen KumarSinha, AbhinavCao, Yongcan

systems engineeringnavigationguidance systemaerospace engineeringguidance lawapplied physicsmaximal coverage

Adaptive Event-Triggered Reinforcement Learning Control for Complex Nonlinear Systems. arXiv (Cornell University) (2024)

Siddique, UmerSinha, AbhinavCao, Yongcan

systems engineeringcomplex nonlinear systemscontrol optimizationreinforcement learninglearning controladaptive event-triggered reinforcementadaptive control

Deep Reinforcement Learning-Based Optimal Time-Constrained Intercept Guidance. AIAA SCITECH 2022 Forum (2024)

Abhinav SinhaDevin WhiteYongcan Cao

engineering optimizationguidance systemartificial intelligencereinforcement learningaerospace engineeringmachine learningdeep reinforcement learning

Offline Reinforcement Learning With Failure Under Sparse Reward Environments. (2024)

Mingkang WuUmer SiddiqueAbhinav SinhaYongcan Cao

cognitive neurosciencesparse reward environmentsreinforcement learningreward systemsneuroscience

On Deep Reinforcement Learning for Target Capture Autonomous Guidance. AIAA SCITECH 2022 Forum (2024)

Umer SiddiqueAbhinav SinhaYongcan Cao

machine intelligencesystems engineeringcomputer visionartificial intelligencereinforcement learningautomatic controlaerospace engineeringmachine learningdeep reinforcement learning

Rating-Based Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Devin WhiteMingkang WuEllen NovosellerVernon J. LawhernNicholas WaytowichYongcan Cao

rating-based reinforcement learningreinforcement learningartificial intelligencebehavioral sciences

Relational Maneuvering of Leader-Follower Unmanned Aerial Vehicles for Flexible Formation. IEEE Transactions on Cybernetics (2024)

Praveen Kumar RanjanAbhinav SinhaYongcan CaoDavid CasbeerIsaac Weintraub

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