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
  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
  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 Scopus10 WoS15
  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 Scopus8 WoS9
  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 Scopus1 WoS4
  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 Scopus3
  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 Scopus60 WoS56
  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 Scopus49 WoS37
  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 Scopus29 WoS24

• Conference Papers

  Year	Citation
  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. In Future Generation Computer Systems Vol. 146 (pp. 18-33). Elsevier BV. 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) (pp. 8 pages). Rio de Janeiro, Brazil: IEEE. DOI
  2014	Yan, B., & Wu, C. (2014). Research on Taxi Modeling and Taking-Off Control for UAV. In 2014 Seventh International Symposium on Computational Intelligence and Design. IEEE. DOI

Tutor and practical demonstrator of ELEC ENG 4107 - Autonomous Systems-2022

Technical supervisor of Masters final year projects 2019-2023.

• Email: bing.yan@adelaide.edu.au