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 |
|---|---|
| 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. Scopus19 WoS18 Europe PMC6 |
| 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. Scopus2 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. Scopus2 WoS2 |
| 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. Scopus2 WoS2 |
| 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. Scopus8 WoS7 |
| 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. Scopus19 WoS19 |
| 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. Scopus23 WoS20 Europe PMC3 |
| 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. Scopus7 WoS7 Europe PMC1 |
| 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. Scopus27 WoS17 |
| 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. Scopus18 WoS16 |
| 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. Scopus123 WoS108 |
| 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. Scopus65 WoS55 |
| 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. Scopus22 WoS20 |
| 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. 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. Scopus216 WoS198 |
| 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. Scopus87 WoS74 |
| 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. Scopus36 WoS31 |
| 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 |
| - | 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. |
| 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 |
| 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 Scopus187 |
| 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. WoS79 |
| 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 Scopus17 WoS15 |
| Project Title | Fund/Org | Investigator | Amount |
| Safe collaborative control for heterogeneous multi-agent autonomous systems | Australian Research Council | Bing Yan | AUD $445,691 |
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 | Developing an AI-Driven Multi-Objective Optimization Framework for Improved Wind Power Forecasting | Doctor of Philosophy | Doctorate | Full Time | Mr Behzad Ehsanmaleki |
| 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 | 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 | 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 |
| 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
