[1] Wenbin Yuan, Xubin Ping, Yongxi He, Xuechao Duan, Andrey Polyakov, Konstantin Zimenko, Nonovershooting Homogeneous Finite-time Stabilisers for Mechanical Systems, IEEE/CAA Journal of Automatica Sinica, 2024. (Under Review)
[2] Zhang Quan, Yuan Wenbin, Ping Xubin, He Yongxi, Andrey Polyakov, Konstantin Zimenko, Homogeneous Active Vibration Control of Cable-Mesh Reflector Antenna, Advances in Space Research, 2025 (Under Review)
[3] 江好胜，武芳芳，黄泽贤，董春云，马子玥，平续斌, 动态障碍物环境下多四旋翼轨迹规划与跟踪, 系统仿真学报，2024. (在线发表)
[4] 黄泽贤;江好胜;吴健;刘鼎;董春云;平续斌, 多无人机覆盖路径规划与轨迹跟踪控制, 信息与控制, 2024. (已录用)
[5] 彭丹华，李向宁，武芳芳，平续斌. 椭圆型Tube的输出反馈鲁棒MPC终端约束集合设计,控制理论与应用，2024. (在线发表)
[6] 张权，袁文斌，史晨晰，段学超，平续斌，空间索网可展开天线有限时间振动控制研究，全国机械电子学学术会议，2024.
[7] Zexian Huang, Haosheng Jiang, Jian Wu, Ding Liu, Chunyun Dong, Xubin Ping, Multi-UAV Cooperative Path Planning via Improved Grey Wolf Optimization Algorithm, 7th IEEE International Conference on Unmanned Systems, 2024. (accepted)
[8] Yuan Wenbin, Dong Chunyun, Duan Xuechao, Polyakov Andrey, Zimenko Konstantin, Xubin Ping, Leader-Follower Tracking with Collision Avoidance for Omni-directional Mobile Robots: Linear vs Homogeneous Controller, Chinese Control Conference, Kunming China, pp. 124-129, 2024.
[9] Jiang Haosheng, Huang Zexian, Ma Ziyue, Zhang Zhenxing, Wu Jian J, Ping Xubin, Multi-UAV Trajectory Planning and Tracking Via Improved Informed-RRT* and MPC Algorithms, 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, pp. 583-588, 2023.
[10] Wang Wenxiao, Wang Xiaojuan, Li Renqiang, Jiang Haosheng, Liu Ding, Ping Xubin, Transfer Reinforcement Learning of Robotic Grasping Training using Neural Networks with Lateral Connections, IEEE 12th Data Driven Control and Learning Systems Conference, Xiangtan China, pp. 489-494, 2023.
[11] Li Renqiang, Wang Xiaojuan, Wang Wenxiao, Jiang Haosheng, Liu Ding, Ping Xubin, Image Based Visual Servoing Model Predictive Control of Manipulator, Chinese Control and Decision Conference, Yichang China, pp. 3297-3302, 2023.
[12] Wang Xiaojuan, Wang Wenxiao, Li Renqiang, Jiang Haosheng, Ping Xubin, Manipulator Reinforcement Learning with Mask Processing Based on Residual Network, Chinese Control and Decision Conference, Yichang China, pp. 4314-4318, 2023.
[13] Cao Yu, Lv Ming, Qiu Xingbo, Liu Yongkui, Ping Xubin, Cloud Manufacturing Task Scheduling Under Machinery Breakdown Based on Deep Reinforcement Learning, China Automation Congress, pp. 3742-3747, 2023.
[14] Qiu Xingbo, Cao Yu, Lv Ming, Liu Yongkui and Ping Xubin, Implementation of real-time robot monitoring and scheduling platform in cloud manufacturing environment, Conference on Intelligent Networked Things, pp. 170-178，2024.
[15] Yao Junying, Wang Xiaojuan, Li Renqiang, Wang Wenxiao, Ping Xubin, Liu Yongkui, Dual Manipulator Collaborative Shaft Slot Assembly via MADDPG, IEEE International Conference on Robotics and Biomimetics (ROBIO), Xishuangbanna China, pp. 1047-1052, 2022.
[16] Yao Junying, Liu Yongkui, Lin Tingyu, Ping Xubin, Xu He, Wang Wenxiao, Xiao Yingying, Zhang Lin, Wang Lihui, Robotic Grasping Training using Deep Reinforcement Learning with Policy Guidance Mechanism, International Manufacturing Science and Engineering Conference, vol. 85079, p. V002T07A015, American Society of Mechanical Engineers, 2021.
1. 热爱科研、勤奋努力、善于思考、积极上进；
2. 对机器人、飞行器、机械系统、以及微波无线传能等研究领域的优化控制理论与应用感兴趣。对人工智能驱动的模型预测控制、基于学习的智能控制理论与技术、机械系统有限时间内鲁棒估计与控制、机器人智能感知决策优化与控制、飞行器轨迹规划与跟踪控制，以及算法在FPGA、DSP， ARM等硬件嵌入式系统设计与实现等相关问题感兴趣；
3. 具备基本编程能力以及优化控制算法设计思想，具备基本英语写作与交流能力，具有良好的沟通协作能力；
4. 对上述研究方向与领域感兴趣，或者攻读研究生需要咨询以及指导帮助的学生，请提前和本人及时沟通联系，邮箱：pingxubin@126.com