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  • “Resource Provision for Cloud-Enabled Automotive Vehicles With a Hierarchical Model,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 3, pp. 1466–1478, 2022.

    K. Zhang, Z. Li, X. Yin, and L. Han.

  • “Online data-driven model predictive control in variable noise environment based on neural network and Gaussian process regression,” in 2022 China Automation Congress (CAC), IEEE, 2022, pp. 3608–3613.

    H. Yu, Q. Tan, L. Han, X. Dong, Q. Li, and Z. Ren.

  • “Resilient time-varying formation control of second-order discrete-time multi-agent systems with actuator faults and attacks on communication link,” in Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, Springer Nature Singapore Singapore, 2022, pp. 470–482.

    Y. Wang, L. Han, X. Li, X. Dong, Q. Li, and Z. Ren.

  • “Fault-Tolerant Control for Launch Vehicle Actuator Based on Adaptive Control,” in Advances in Guidance, Navigation and Control: Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020, Tianjin, China, October 23–25, 2020, Springer Singapore, 2022, pp. 4623–4633.

    Q. Niu, Q. Li, Y. Liu, L. Han, and Z. Ren.

  • “Indoor Localization for Quadrotors using Invisible Projected Tags,” in 2022 International Conference on Robotics and Automation (ICRA), IEEE, 2022, pp. 9404–9410.

    J. Li, L. Han, and Z. Ren.

  • “Path planning method using dyna-q algorithm under complex urban environment,” in 2022 China Automation Congress (CAC), IEEE, 2022, pp. 6776–6781.

    J. Huang, Q. Tan, J. Ma, and L. Han.

  • “Multi-sensor measurement information fusion for maneuvering target recognition and tracking,” in 2021 40th Chinese Control Conference (CCC), IEEE, 2021, pp. 3693–3698.

    Z. Zhang, L. Han, X. Dong, Q. Li, and Z. Ren.

  • “Privacy-preserving adaptive consensus based cubature Kalman filter for distributed sensor networks,” in 2021 China Automation Congress (CAC), IEEE, 2021, pp. 6874–6879.

    J. Zha, L. Han, and Z. Ren.

  • “Event-Triggered Formation Control for General Linear Discrete-Time Multi-Agent Systems with Obstacle Avoidance,” in 2021 China Automation Congress (CAC), IEEE, 2021, pp. 7238–7243.

    Z. Yan, Q. Tan, X. Li, and L. Han.

  • “Bio-inspired adaptive formation tracking control for swarm systems with application to UAV swarm systems,” Neurocomputing, vol. 453, pp. 272–285, 2021.

    Y. Xie, L. Han, X. Dong, Q. Li, and Z. Ren.

  • “Distributed sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leader,” Aerospace Science and Technology, vol. 111, p. 106549, 2021.

    J. Wang, L. Han, X. Dong, Q. Li, and Z. Ren.

  • “Battlefield Situation Deduction and Maneuver Decision Using Deep Q-Learning,” in 2021 40th Chinese Control Conference (CCC), IEEE, 2021, pp. 3651–3656.

    M. Shi, X. Dong, L. Han, Q. Li, and Z. Ren.

  • “Discrete-time heterogeneous multi-agent system formation control with high-fidelity simulation,” in 2021 China Automation Congress (CAC), IEEE, 2021, pp. 6785–6790.

    W. Ma and L. Han.

  • “Distributed finite time cubature information filtering with unknown correlated measurement noises,” ISA transactions, vol. 112, pp. 35–55, 2021.

    Y. Liang, X. Dong, H. Wang, L. Han, Q. Li, and Z. Ren.

  • “Observer based control for load transportation system using multiple quadrotors,” in 2021 China Automation Congress (CAC), IEEE, 2021, pp. 6995–7000.

    Z. Li, L. Han, X. Dong, Q. Li, and Z. Ren.

  • “Time-varying output formation tracking of heterogeneous linear multi-agent systems under sensor and actuator faults,” in 2021 China Automation Congress (CAC), IEEE, 2021, pp. 7063–7068.

    H. Cao, L. Han, and H. Yu.

  • “Time-varying formation tracking control for high-order multi-agent systems with switching directed topologies and unknown control input,” in 2020 IEEE 16th International Conference on Control & Automation (ICCA), IEEE, 2020, pp. 1056–1061.

    Y. Lu, X. Dong, L. Han, Q. Li, and Z. Ren.

  • “Formation control for second-order discrete-time multi-agent systems with nonlinear dynamics using neural networks,” in 2020 Chinese Automation Congress (CAC), IEEE, 2020, pp. 5096–5096.

    C. Mu, L. Han, Y. Wen, X. Dong, Q. Li, and Z. Ren.

  • “Fault-Tolerant Control for Carrier Rocket Actuator Based on Adaptive Control with Constraints,” in 2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC), IEEE, 2020, pp. 509–514.

    Q. Niu, Q. Li, Y. Liu, L. Han, and Z. Ren.

  • “A Scale Adaptive Kernel Correlation Filter-Based Tracker with Optimized Update Strategy,” in 2020 39th Chinese Control Conference (CCC), IEEE, 2020, pp. 3414–3420.

    M. Shi, Y. Heng, L. Han, Q. Li, and Z. Ren.

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