尹曌

日期: 2025-11-05

网站个人信息

中国

工学博士

控制科学与工程

北京科技大学

特聘教授

副高

yinzhao@ncu.edu.cn

先进制造学院测控技术与仪器系

四川德阳人博士,特聘教授。主要从事多智能体编队控制、飞行器导航与制导控制、智能机器人控制等研究。IEEE Trans.TOP期刊发表论文十余篇,申请国家发明专利1,参国家级项目多项

2022.102025.10 北京理工大学 航空宇航科学与技术 博士后

2019.092020.10 美国密苏里科技大学 计算机工程 联合培养

2017.092022.01 北京科技大学 控制科学与工程 工学博士

2013.092017.06 电子科技大学 控制工程 工学硕士

2009.092013.06 杭州电子科技大学 电气工程与自动化 工学学士

2025.10至今 南昌大学先进制造学院 特聘教授

[1] 中国博士后科学基金委员会,面上项目,2024M754092基于能量优化的无人机集群协同优化控制2024-01-012025-12-318万元,结题,主持。

[2] 国家自然科学基金委员会面上项目62073030多约束柔性双臂机器人系统的控制与优化设计2021-01-012024-12-3158万元结题参与

[3] 国家自然科学基金委员会面上项目62173031基于仿鹰眼视觉的扑翼飞行机器人目标检测与跟踪研究2022-01-012025-12-3159万元参与

[4] 国家自然科学基金委员会面上项目62073028集群欠驱动智能体系统协同编队聚集控制与调配2021-01-012024-12-3159万元结题参与

发表文章:

[1] Zhao Yin, Wei Wang, Zhijie Liu, Yuchen Wang, “Fuzzy Approximation-Based Fixed-Time Attitude Control for a Hypersonic Reentry Vehicle with Full-State Constraints”, IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 2, pp. 1807-1820, 2024.(影响因子: 5.1, 被引次数:8JCR Q1, Top)

[2] Zhao Yin, Wei Wang, Dongyu Li, Zhijie Liu, Yuchen Wang, “Time-Synchronized Attitude Tracking Control for a Hypersonic Reentry Vehicle System with System Uncertainties and Disturbances”, IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 2, pp. 3531-3543, 2024.(影响因子: 5.1, 被引次数:2JCR Q1, Top)

[3] Zhao Yin, Wei Wang, Zhijie Liu, Fuxiang Liu. Fixed-time control of a marine surface vessel system with input saturation and guaranteed prescribed constraints, Ocean Engineering, vol. 297, pp. 117078, 2024. (影响因子: 4.6, 被引次数:3JCR Q1, Top)

[4] Puxi Zhang, Wei Wang, Yuchen Wang, Dongyu Li, Zhao Yin*. “Fixed-Time-Synchronized Non-Affine Attitude Control for Reusable Launch Vehicles, IEEE Transactions on Aerospace and Electronic Systems, 2024, early access. (影响因子: 5.1, JCR Q1, Top)

[5] Zhao Yin, Wei He, Changyin Sun. “Uncertainty and disturbance estimator-based control of a flapping-wing aerial vehicle with unknown backlash-like hysteresis”, IEEE Transactions on Industrial Electronics, vol. 67, no. 6, pp. 4826-4835, 2020. (影响因子: 7.5, 被引次数:33JCR Q1, Top)

[6] Zhao Yin, Wei He, Chenguang Yang, Changyin Sun, “Control Design of a Marine Vessel System Using Reinforcement Learning”, Neurocomputing, vol. 311, no. 1, pp. 353-362, 2018. (影响因子: 5.5,被引用次数:34JCR Q1, Top)

[7] Zhao Yin, Wei He, Chenguang Yang, “Tracking Control of a Marine Surface Vessel with Full-State Constraints”, International Journal of Systems Science, vol. 48, no. 3, pp. 535-546, 2016. (影响因子: 4.9,被引用次数:57JCR Q1)

[8] Yuchen Wang, Wei Wang, Hongbo Lei, Jiaqi Liu, Bailin Chen, Zhao Yin* Observer-based robust impact angle control three-dimensional guidance laws with autopilot lag, Aerospace Science and Technology, vol. 141, pp. 108505, 2023. (影响因子: 5.0, 被引次数:8JCR Q1, Top)

[9] Wei He, Zhao Yin, “Adaptive Neural Network Control of a Marine Vessel with Constraints Using the Asymmetric Barrier Lyapunov Function”, IEEE Transactions on Cybernetics, vol. 47, no. 7, pp. 1641-1651, 2017. (影响因子: 9.4,被引用次数:217JCR Q1, Top)

[10] ,贺威,邹尧等,“基于“雁阵效应”的扑翼飞行机器人高效集群编队研究”, 自动化学报, vol. 47, no. 6, pp. 1355-1367, 2021. (EI,中文核心期刊)

[11] 王雨辰, 王伟, 林时尧, 杨婧, 王少龙, 尹曌*. “考虑攻击时间及空间角度约束的三维自适应滑模协同制导律设计, 兵工学报, vol. 44, no. 9, pp. 2778, 2023.( EI,中文核心期刊)

[12] Wei He, Yuhao Chen, Zhao Yin, “Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints”, IEEE Transactions on Cybernetics, vol. 46, no. 3, pp. 620-629, 2016. 影响因子:9.4, 被引用数: 855JCR Q1, Top)

[13] Wei He, David, A.O, Zhao Yin, “Neural Network Control of a Robotic Manipulator With Input Deadzone and Output Constraint”, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 46, no. 6, pp. 759-770, 2015. (影响因子:8.6, 被引用数: 252JCR Q1, Top)

[14] Zhen Zhao, Wei He, Zhao Yin, Jun Zhang, “Spatial Trajectory Tracking Control of a Fully Actuated Helicopter in Known Static Environment”, Journal of Intelligent & Robotic Systems, vol. 85, no.1, pp. 127-144, 2017. (影响因子: 3.1, 被引用数: 2JCR Q3)

[15] Shuang Zhang, Yiting Dong, Yunchen Ouyang, Zhao Yin, “Adaptive neural control for robotic manipulators with output constraints and uncertainties”, IEEE Transactions on Neural Networks and Learning System, vol. 29, no. 11, pp. 5554-5564, 2017. (影响因子: 10.2, 被引用数: 151JCR Q1, Top)

发明专利:

[1] 贺威,雷龙生,,邹尧等,一种扑翼飞行机器人编队控制方法, CN202111065723.6, 发明专利,已授权。