Bing Yan

• 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

  Control Systems Control Theory Flight Control Systems Robotics and Automation

• 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. DOI Scopus13 Europe PMC4
  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 Scopus2
  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
  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, 11 pages. DOI
  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 Scopus12
  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 Scopus16 Europe PMC1
  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 Scopus3
  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 Scopus4
  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 Scopus18 WoS2
  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 Scopus16 WoS2
  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 Scopus105 WoS21
  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 Scopus51 WoS17
  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 Scopus19 WoS8
  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 Scopus182 WoS75
  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 Scopus79 WoS43
  2019	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. DOI
  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 Scopus36 WoS27
  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

• 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. 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 Scopus159
  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 WoS13

Autonomous Systems

Supervisor of Honors/Masters for their final year projects.

• 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

• Email: bing.yan@adelaide.edu.au