Yushan Li

Orcid: 0000-0001-8795-850X

Affiliations:
  • KTH Royal Institute of Technology, Division of Decision and Control Systems, Stockholm, Sweden
  • Shanghai Jiao Tong University, Shanghai, China (PhD 2024)
  • Ministry of Education of China, Key Laboratory of System Control and Information Processing, Shanghai, China


According to our database1, Yushan Li authored at least 30 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Securing Mobile Robotic Networks Against Replacement Attack.
IEEE Trans. Autom. Control., July, 2025

Preserving Topology of Network Systems: Metric, Analysis, and Optimal Design.
IEEE Trans. Autom. Control., June, 2025

Inverse Inference on Cooperative Control of Networked Dynamical Systems.
CoRR, April, 2025

Probabilistic predictability of stochastic dynamical systems.
Autom., 2025

Topology Inference for Network Systems with Unknown Inputs.
Proceedings of the 2025 American Control Conference, 2025

2024
Topology Inference for Network Systems: Causality Perspective and Nonasymptotic Performance.
IEEE Trans. Autom. Control., June, 2024

Topology-Preserving Motion Coordination for Multi-Robot Systems in Adversarial Environments.
IEEE J. Sel. Top. Signal Process., April, 2024

A Probabilistic Topology Inference Method for Networked Dynamical System via Single Excitation.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Local Topology Inference of Mobile Robotic Networks Under Formation Control.
IEEE Trans. Autom. Control., November, 2023

Intelligent Physical Attack Against Mobile Robots With Obstacle-Avoidance.
IEEE Trans. Robotics, February, 2023

Topology-Preserving Second-Order Consensus: A Strategic Compensation Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Predictability Exponent of Stochastic Dynamical Systems.
CoRR, 2022

I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks.
CoRR, 2022

Inferring Topology of Networked Dynamical Systems by Active Excitations.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributed Topology-preserving Collaboration Algorithm against Inference Attack.
Proceedings of the American Control Conference, 2022

2021
Sneak Attack against Mobile Robotic Networks under Formation Control.
CoRR, 2021

On Topology Inference for Networked Dynamical Systems: Principles and Performances.
CoRR, 2021

Multi-robot Target Search under Multi-peak Distribution: A Dynamic Approach based on High Confidence Area.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Topology Inference for Consensus-based Cooperation under Time-invariant Latent Input.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Topology Inference on Partially Observable Mobile Robotic Networks under Formation Control.
Proceedings of the 2021 European Control Conference, 2021

Topology Inference for Networked Dynamical Systems: A Causality and Correlation Perspective.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Consensus and Approximation-based Distribution Statistics in Network Systems.
Proceedings of the 2021 American Control Conference, 2021

2020
Topology Inference for Multi-agent Cooperation under Unmeasurable Latent Input.
CoRR, 2020

Adaptive Task Allocation for Multi-agent Cooperation with Unknown Capabilities.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Obstacle Avoidance Algorithm Based on Human Experience Knowledge.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Unpredictable Trajectory Design for Mobile Agents.
Proceedings of the 2020 American Control Conference, 2020

2019
Learning-based Intelligent Attack against Mobile Robots with Obstacle-avoidance.
CoRR, 2019

Optimal Topology Recovery Scheme for Multi-robot Formation Control.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Moving Obstacle Avoidance and Topology Recovery for Multi-agent Systems.
Proceedings of the 2019 American Control Conference, 2019

Learning-based Intelligent Attack against Formation Control with Obstacle-avoidance.
Proceedings of the 2019 American Control Conference, 2019


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