Bing Yan

Bing Yan

Higher Degree by Research Candidate

School of Electrical and Electronic Engineering

Faculty of Engineering, Computer and Mathematical Sciences


My research interests include robust control, event-triggered control, reinforcement learning, multi-agent systems, and flight control systems.

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  • Journals

    Year Citation
    2021 Yan, B., Shi, P., Lim, C. C., & Shi, Z. (2021). Optimal robust formation control for heterogeneous multi-agent systems based on reinforcement learning. International Journal of Robust and Nonlinear Control, [1]-[22].
    DOI
    2021 Yan, B., Shi, P., Lim, C. C., & Wu, C. (2021). Robust Formation Control for Multi-agent Systems Based on Adaptive Observers. IEEE Systems Journal.
    2021 Yan, B., Shi, P., & Lim, C. C. (2021). Robust Formation Control for Nonlinear Heterogeneous Multiagent Systems Based on Adaptive Event-Triggered Strategy. IEEE Transactions on Automation Science and Engineering, 1-13.
    DOI Scopus1
    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 Scopus1
    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 Scopus8 WoS7
    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 Scopus17 WoS12
    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 Scopus19 WoS17
  • Conference Papers

    Year Citation
    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). IEEE.
    DOI

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