Yuan Sun

Orcid: 0000-0002-4453-8932

Affiliations:
  • Soochow University, School of Mechanical and Electrical Engineering, China
  • University of Adelaide, School of Electrical, and Electronic Engineering, SA, Australia (PhD 2022)


According to our database1, Yuan Sun authored at least 12 papers between 2021 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

2024
Event and Learning-Based Resilient Formation Control for Multiagent Systems Under DoS Attacks.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024

Dynamically Triggered Estimator-Based Controller and Its Application on an Omnidirectional Robot.
IEEE Trans Autom. Sci. Eng., July, 2024

Predefined-Time Adaptive Neural Tracking Control for a Single Link Manipulator with an Event-Triggered Mechanism.
Sensors, July, 2024

Interval estimation for omni-directional automated guided vehicle: An approach based on reachability analysis.
J. Frankl. Inst., 2024

Iterative learning control with parameter estimation for non-repetitive time-varying systems.
J. Frankl. Inst., 2024

Predefined-Time Consensus of Stochastic Nonlinear Multi-agent Systems.
Proceedings of the 14th Asian Control Conference, 2024

2023
Consensus for Multiagent Systems Under Output Constraints and Unknown Control Directions.
IEEE Syst. J., March, 2023

2022
Adaptive consensus control for output-constrained nonlinear multi-agent systems with actuator faults.
J. Frankl. Inst., 2022

Event-triggered sliding mode scaled consensus control for multi-agent systems.
J. Frankl. Inst., 2022

2021
Fault estimation and fault-tolerant control for linear discrete time-varying stochastic systems.
Sci. China Inf. Sci., 2021

Adaptive neural network consensus control of multi-robot systems with output constraints.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021


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