
Bing Yan
School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Bing Yan is a lecturer 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.
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Language Competencies
Language Competency Chinese (Mandarin) Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2019 - 2022 The University of Adelaide Australia PhD -
Research Interests
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Journals
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.
Scopus12 Europe PMC22025 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.
Scopus12024 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.
Scopus112024 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.
Scopus12 Europe PMC12024 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.
Scopus32024 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.
Scopus42023 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.
Scopus18 WoS22023 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.
Scopus15 WoS22022 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.
Scopus99 WoS212022 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.
Scopus47 WoS172022 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.
Scopus17 WoS82020 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.
Scopus32020 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.
Scopus169 WoS752019 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.
Scopus77 WoS432019 Yang, B., Zou, J., Huang, T., Mao, J., Zeng, X., & Ding, W. (2019). Enhanced hydrogenation and hydrolysis properties of core-shell structured Mg-MO<sub>x</sub> (M = Al, Ti and Fe) nanocomposites prepared by arc plasma method. CHEMICAL ENGINEERING JOURNAL, 371, 233-243.
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.
Scopus35 WoS272016 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.
Scopus12015 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.
Scopus8 -
Conference Papers
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.
DOI2023 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.
DOI2018 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 Scopus1512015 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 Scopus16 WoS13
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
Supervisor of Honors/Masters for their final year projects.
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Current Higher Degree by Research Supervision (University of Adelaide)
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 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
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