当前位置: X-MOL首页全球导师 国内导师 › 杨庆凯

个人简介

教育与工作经历 2011.9 - 2018.3 北京理工大学 自动化学院 控制科学与工程 博士(直博) 2014.9 - 2018.5 荷兰格罗宁根大学 科学与工程学院 系统控制 博士 2018.8 – 2022.7 北京理工大学 自动化学院 预聘助理教授、博士生导师 2022.7 – 2023.10 北京理工大学 自动化学院 长聘副教授、博士生导师 2023.10 – 至今 北京理工大学 自动化学院 教授、博士生导师

研究领域

1. 多智能体系统智能协同运动控制 (1) 分布式协同估计与控制、编队控制、智能协同感知与规划等理论 (2) 面向无人机、无人车等自主无人集群系统的实际应用与技术开发 2. 智能机器人 (1)新型张拉整体跨域机器人 (2)无人机、无人车自主导航、路径规划、多传感器融合感知等

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Yang, Q., Xiao, F., Lyu, J., Zhou, B., & Fang, H. (2024). Self-Organized Polygon Formation Control Based on Distributed Estimation. IEEE Transactions on Industrial Electronics, 71(2), 1958-1967. Zhang, X., Yang, Q.*, Lyu, J., Zhao, X., & Fang, H. (2023). Distributed Variation Parameter Design for Dynamic Formation Maneuvers With Bearing Constraints. IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2023.3283095. Zhao, X., Yang, Q.*, Pan, Y., & Fang, H. (2023). Triangular formation control with mixed distance and bearing measurements under limited field of view constraints. International Journal of Robust and Nonlinear Control, 33(12), 7374-7391, 2023. Tian, D., Fang, H., Yang, Q., Yu, H., Liang, W., & Wu, Y. (2023). Reinforcement learning under temporal logic constraints as a sequence modeling problem. Robotics and Autonomous Systems, 161, 104351. Yang, Q., Fang, H., Cao, M., & Chen, J. (2022). Planar Affine Formation Stabilization via Parameter Estimations. IEEE Transactions on Cybernetics, 52(6), 5322-5332. Tian, D., Fang, H., Yang, Q.*, & Wei, Y. (2022). Decentralized Motion Planning for Multiagent Collaboration Under Coupled LTL Task Specifications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(6), 3602 – 3611. Wu, C., Fang, H., Zeng, X., Yang, Q.*, Wei, Y., Chen, J. (2022). Distributed Continuous-Time Algorithm for Time-Varying Optimization With Affine Formation Constraints, IEEE Transactions on Automatic Control, 68(4), 2615-2622. Xiao, F., Yang, Q.*, Zhao, X., Fang, H. (2022). A Framework for Optimized Topology Design and Leader Selection in Affine Formation Control, IEEE Robotics and Automation Letters 7 (4), 8627-8634. Tian, D., Fang, H., Yang, Q.*, Guo, Z. (2022), Two-Phase Motion Planning under Signal Temporal Logic Specifications in Partially Unknown Environments, IEEE Transactions on Industrial Electronics, Early Access. Chen, L., Yang, Q., Shi, M., Li, Y., & Feroskhan, M. (2022). Stabilizing Angle Rigid Formations with Prescribed Orientation and Scale. IEEE Transactions on Industrial Electronics, Early Access. Shang, C., Fang, H., Yang, Q.*, & Chen, J. (2021). Distributed Hierarchical Shared Control for Flexible Multirobot Maneuver Through Dense Undetectable Obstacles. IEEE Transactions on Cybernetics, Early Access. Wu, C., Fang, H., Yang, Q.*, Zeng, X., Wei, Y., & Chen, J. (2021). Distributed Cooperative Control of Redundant Mobile Manipulators With Safety Constraints. IEEE Transactions on Cybernetics, Early Access. Niu, G., Yang, Q., Gao, Y., & Pun, M. O. (2021). Vision-based Autonomous Landing for Unmanned Aerial and Mobile Ground Vehicles Cooperative Systems. IEEE Robotics and Automation Letters. Shang, C., Liu, D., Yang, Q.*, & Fang, H. (2021). Responsiveness Analysis of Classic and Observer-Based Leader-Follower Systems. IEEE Transactions on Control of Network Systems, 8(3), 1239 – 1248. Yang, Q., Sun, Z., Cao, M., Fang, H., & Chen, J. (2019). Stress-matrix-based formation scaling control. Automatica, 101, 120-127. Yang, Q., Cao, M., Fang, H., & Chen, J. (2018). Constructing universally rigid tensegrity frameworks with application in multiagent formation control. IEEE Transactions on Automatic Control, 64(1), 381-388. Yang, Q., Fang, H., Chen, J., Jiang, Z. P., & Cao, M. (2017). Distributed global output-feedback control for a class of Euler–Lagrange systems. IEEE Transactions on Automatic Control, 62(9), 4855-4861. Yang, Q., Cao, M., & Anderson, B. D. (2018). Growing super stable tensegrity frameworks. IEEE transactions on cybernetics, 49(7), 2524-2535. Yang, Q., Cao, M., de Marina, H. G., Fang, H., & Chen, J. (2018). Distributed formation tracking using local coordinate systems. Systems & Control Letters, 111, 70-78. Yang, Q., Fang, H., Chen, J., & Wang, X. (2014). Distributed observer-based coordination for multiple Lagrangian systems using only position measurements. IET Control Theory & Applications, 8(17), 2102-2114.

推荐链接
down
wechat
bug