Bing Yan

Research Interests

Control Systems Control Theory Flight Control Systems Robotics and Automation

Dr Bing Yan

ARC Externally-Funded Research Fellow

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Bing Yan is a lecturer and ARC DECRA Fellow at the School of Electrical and Mechanical Engineering.

Her research interests include distributed cooperative control for multi-agent systems, reinforcement learning, and their applications on autonomous systems.

She was awarded the Dean’s Commendation for Doctoral Thesis Excellence in 2022, the University Doctoral Research Medal in 2023, and the Australian Research Council Discovery Early Career Researcher Award in 2024.

Language Competency
Chinese (Mandarin) Can read, write, speak, understand spoken and peer review
English Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
2019 - 2022 The University of Adelaide Australia PhD

Year Citation
2026 Kamath, A. K., Yan, B., Shi, P., & Feroskhan, M. (2026). Physics-informed Koopman Neural Operator for Augmented Dynamics Visual Servoing of Multirotors. IEEE Transactions on Automation Science and Engineering, 23, 4639-4653.
DOI Scopus3
2026 Rahman, M. M., Mahmud, J. A., Ali, M. F., Rahim, M. A., Sarker, S. K., & Yan, B. (2026). ROS2-based real-time autonomous mapping and navigation: Integrating visual SLAM and sensor fusion with performance analysis under varying light. Measurement: Journal of the International Measurement Confederation, 268, 120695-1-120695-20.
DOI Scopus2 WoS2
2026 Liu, L., Yan, B., Ni, J., & Shi, P. (2026). Neural‐Network‐Based Event‐Triggered Consensus Tracking for Nonlinear Heterogeneous Multi‐Agent Systems Against Denial‐of‐Service Attacks. International Journal of Robust and Nonlinear Control, 1-15.
DOI
2026 Ni, J., Yan, B., Shi, P., & Song, Y. (2026). Event-Triggered Practical Prescribed-Time Consensus Tracking of Second-Order Nonlinear Multiagent Systems—A Novel Edge-Based Dynamic Memory Approach. IEEE Transactions on Automation Science and Engineering, 23, 13902-13913.
DOI
2025 Yan, B., Shi, P., Lim, C. P., Sun, Y., & Agarwal, R. K. (2025). Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 36(2), 2777-2788.
DOI Scopus33 WoS29 Europe PMC9
2025 Shao, P., Ma, X., Yan, B., Dong, Y., Wu, C., Qu, G., & Tan, J. (2025). Structural state feedback gain-scheduled tracking control based on linear parameter varying system of morphing wing UAV. Journal of the Franklin Institute, 362(1), 107355.
DOI Scopus3 WoS1
2025 Zhao, H., Dai, H., Yue, X., Zuo, C., Yang, H., Wang, C., . . . Zhang, H. (2025). Manipulating Tumbling Spacecraft by Hall Thruster. IEEE Transactions on Aerospace and Electronic Systems, 61(3), 6617-6628.
DOI Scopus5 WoS4
2025 Chen, Z., Li, H., Wang, Z., & Yan, B. (2025). Weighted Mean Field Q-Learning for Large Scale Multiagent Systems. IEEE Transactions on Industrial Informatics, 21(9), 7368-7378.
DOI Scopus7 WoS6
2025 Chen, Z., Li, H., & Yan, B. (2025). Efficient Training Framework for Multi-USV System Based on Off-policy Deep Reinforcement Learning. Information Technology and Control, 54(4), 1159-1177.
DOI Scopus1 WoS1
2024 Yan, B., Shi, P., & Chambers, J. (2024). Cooperative control for heterogeneous multi-agent systems: progress, applications, and challenges. Science China Information Sciences, 67(5), 156201-1-156201-3.
DOI Scopus21 WoS15
2024 Yan, B., Sun, Y., Shi, P., & Lim, C. -C. (2024). Event and Learning-Based Resilient Formation Control for Multiagent Systems Under DoS Attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(8), 4876-4886.
DOI Scopus30 WoS29
2024 Yan, B., Ni, J., Zhong, Y., Yu, D., & Wang, Z. (2024). Collision-Free Formation Control for Heterogeneous Multiagent Systems Under DoS Attacks. IEEE Transactions on Cybernetics, 54(10), 6244-6255.
DOI Scopus47 WoS36 Europe PMC7
2024 Wang, Q., Shu, P., Yan, B., Shi, Z., Hua, Y., & Lu, J. (2024). Robust Predefined Output Containment for Heterogeneous Nonlinear Multiagent Systems Under Unknown Nonidentical Leaders' Dynamics. IEEE TRANSACTIONS ON CYBERNETICS, 54(10), 5770-5780.
DOI Scopus15 WoS12 Europe PMC2
2023 Sun, Y., Yan, B., Shi, P., & Lim, C. C. (2023). Consensus for Multi-Agent Systems under Output Constraints and Unknown Control Directions. IEEE Systems Journal, 17(1), 1035-1044.
DOI Scopus26 WoS23
2023 Liu, H., Chen, P., Ouyang, X., Gao, H., Yan, B., Grosso, P., & Zhao, Z. (2023). Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. Future Generation Computer Systems, 146, 18-33.
DOI Scopus37 WoS25
2022 Yan, B., Shi, P., & Lim, C. C. (2022). Robust Formation Control for Nonlinear Heterogeneous Multi-agent Systems based on Adaptive Event-triggered Strategy. IEEE Transactions on Automation Science and Engineering, 19(4), 2788-2800.
DOI Scopus141 WoS122
2022 Yan, B., Shi, P., Lim, C. C., & Shi, Z. (2022). Optimal robust formation control for heterogeneous multi-agent systems based on reinforcement learning. International Journal of Robust and Nonlinear Control, 32(5), 2683-2704.
DOI Scopus73 WoS63
2022 Yan, B., Shi, P., Lim, C. C., & Wu, C. (2022). Robust Formation Control for Multi-agent Systems Based on Adaptive Observers. IEEE Systems Journal, 16(2), 3139-3150.
DOI Scopus24 WoS21
2020 He, W., Yan, B., & Wu, C. (2020). Distributed cooperative formation control for multi-agent systems based on robust adaptive strategy. ICIC Express Letters, 14(7), 661-668.
DOI Scopus4
2020 Shi, P., & Yan, B. (2020). A survey on intelligent control for multiagent systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(1), 161-175.
DOI Scopus265 WoS243
2019 Yan, B., Wu, C., & Shi, P. (2019). Formation consensus for discrete-time heterogeneous multi-agent systems with link failures and actuator/sensor faults. Journal of the Franklin Institute, 356(12), 6547-6570.
DOI Scopus91 WoS77
2018 Yan, B., Shi, P., Lim, C., Wu, C., & Shi, Z. (2018). Optimally distributed formation control with obstacle avoidance for mixed-order multi-agent systems under switching topologies. IET Control Theory and Applications, 12(13), 1853-1863.
DOI Scopus38 WoS33
2016 Yan, B., Wu, C., Shao, P., & Cheng, P. (2016). A method for semi-open loop control of single aileron jam based on genetic algorithm. Xibei Gongye Daxue Xuebao Journal of Northwestern Polytechnical University, 34(1), 79-84.
Scopus1
2015 Wu, C., Yan, B., & Shao, P. (2015). Exploring taxiing take-off control for unmanned aerial vehicle (UAV) based on fuzzy control. Xibei Gongye Daxue Xuebao Journal of Northwestern Polytechnical University, 33(1), 33-39.
Scopus9

Year Citation
2025 Shi, P., & Yan, B. (2025). Robust Control Design on Multi-Agent Systems in Open and Complex Environments. In Encyclopedia of Systems and Control Engineering (pp. V2-484). Elsevier.
DOI

Year Citation
2024 Yan, B., Shi, P., Zhang, D., & Yang, Y. (2024). Data-Driven Safe Formation Control for Multi-Agent Systems and Its Applications in Multi-UGV Systems. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2844-2849). Online: IEEE.
DOI Scopus1
2023 Liu, B., & Yan, B. (2023). Distributed Formation Control and Dynamic Formation Transformation for Multi-vehicle Systems based on Virtual Leader-Follower Structure and Triggered Strategy. In IEEE International Symposium on Industrial Electronics Vol. 2023-June (pp. 1-6). Helsinki: IEEE.
DOI
2018 Shi, Z., Xu, M., Pan, Q., Yan, B., & Zhang, H. (2018). LSTM-based Flight Trajectory Prediction. In 2018 International Joint Conference on Neural Networks (IJCNN) Vol. 2018-July (pp. 8 pages). Rio de Janeiro, Brazil: IEEE.
DOI Scopus216
2018 Shi, Z., Xu, M., Pan, Q., Yan, B., & Zhang, H. (2018). LSTM-based Flight Trajectory Prediction. In 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pp. 822-829). BRAZIL, Rio de Janeiro: IEEE.
WoS90
2015 Yan, B., & Wu, C. (2015). Research on taxi modeling and taking-off control for UAV. In Proceedings 2014 7th International Symposium on Computational Intelligence and Design Iscid 2014 Vol. 1 (pp. 108-111). PEOPLES R CHINA, Hangzhou: IEEE.
DOI Scopus20 WoS17
Project Title Fund/Org Investigator Amount
Safe collaborative control for heterogeneous multi-agent autonomous systems Australian Research Council Bing Yan AUD $445,691

Control Systems-TA

Autonomous Systems-TA

Supervisor of Honors/Masters for their final year projects.

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Reinforcement Learning-Based Robust Control of Nonlinear Heterogeneous Multi-Agent Systems in Dynamic Environments Doctor of Philosophy Doctorate Full Time Mr Bojun Wu
2025 Co-Supervisor Learning-based adaptive control and optimization framework for Dynamic Systems Doctor of Philosophy Doctorate Full Time Mr Rui Ouyang
2025 Co-Supervisor The research on computer vision algorithms based on spiking neural networks Doctor of Philosophy Doctorate Full Time Miss Li Liu
2025 Principal Supervisor Causal-Enhanced Decision-Making for Heterogeneous Multi-Agent Autonomous Systems in Dynamic Human-Shared Environments Doctor of Philosophy Doctorate Full Time Miss Hui Tao
2025 Co-Supervisor Developing an AI-Driven Multi-Objective Optimization Framework for Improved Wind Power Forecasting Doctor of Philosophy Doctorate Full Time Mr Behzad Ehsanmaleki
2024 Co-Supervisor Multi-Modal Sensor Fusion for Robust Mobile Robot Navigation in Dynamic Environments Doctor of Philosophy Doctorate Full Time Mr Isira Uthpala Eashwara Naotunna

Connect With Me

External Profiles

Other Links