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.

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
Research Interests

Flight Control Systems Robotics and Automation

Language	Competency
Chinese (Mandarin)	Can read, write, speak, understand spoken and peer review
English	Can read, write, speak, understand spoken and peer review

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

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