北京交通大学硕士研究生导师信息：姚秀明

　　在读研期间，所有与你读研相关的事情，可能都需要经过你的导师同意，所以说，选择导师真的很重要，也希望大家能够认真对待这件事，怎样才能选择适合自己的导师呢?这就要我们提前做足功课，尽可能多的搜集有关你准备报考的导师的信息，下面新东方在线考研频道为大家分享：“北京交通大学硕士研究生导师信息：姚秀明”文章。

　　北京交通大学硕士研究生导师信息：姚秀明

　　姚秀明

　　博士、教授、博士生导师

　　基本信息

　　办公电话：电子邮件： xmyao@bjtu.edu.cn

　　通讯地址：北京交通大学九教西402邮编：100044

　　教育背景

　　研究方向：机器人;智能航空航天系统;智能交通系统;精细抗干扰控制理论及应用

　　课题组与北航联合培养硕士生与博士生，重点研究机器人及航空航天无人系统

　　欢迎对科研有浓厚兴趣的同学报考硕士和博士

　　2005.09-2010.06: 哈尔滨工业大学 控制科学与工程 博士

　　2001.09-2005.06: 华北电力大学 测控技术与仪器 学士

　　工作经历

　　2021.12-至今：北京交通大学，自动化与智能学院，教授

　　2015.03-2021.12：北京交通大学，电子信息工程学院，副教授

　　2019.10-2020.09: 伦敦国王学院，访问学者

　　2019.07-2019.08: 英国肯特大学，访问学者

　　2018.07-2018.09: 韩国岭南大学，访问学者

　　2017.07-2017.09: 韩国岭南大学，访问学者

　　2010.07-2015.03: 华北电力大学，讲师

　　2011.05-2014.12: 北京航空航天大学，博士后

　　2010.09-2011.03: 澳大利亚西悉尼大学，访问学者

　　研究方向

　　控制工程

　　人工智能

　　控制理论与控制工程

　　交通智能控制与优化

　　新一代电子信息技术

　　网络与信息安全

　　招生专业

　　控制工程硕士

　　人工智能硕士

　　控制科学与工程硕士

　　交通信息工程及控制硕士

　　控制科学与工程博士

　　新一代电子信息技术(含量子技术等)硕士

　　网络与信息安全硕士

　　科研项目

　　主持的科研项目：

　　1. 横向项目：无人系统边界性能仿真软件测试，2023-2024

　　2. 横向项目： 仿生导航系统复合抗干扰滤波算法测试 2023-2024

　　3. 国家自然科学基金面上： 干扰耦合系统复合分层抗干扰控制，2023-2026

　　4. 基本科研业务费：高速列车安全运行的建模及容错控制研究，2019-2022

　　5. 国家自然科学基金面上： 随机跳变系统抗干扰控制方向，2018-2021

　　6.基本科研业务费：LPV跳变系统的滑模控制及在列车运行安全中的应用，2017-2019

　　7. 国家自然科学基金青年：故障诊断及容错控制方向 ，2013-2015

　　8. 博士后特别资助：鲁棒分析与综合方向，2013-2014

　　教学工作

　　本科生主讲课程：

　　概率论与数理统计(56学时，2017-2019; 48学时，2021，2022)

　　自动控制原理(64学时、48学时，2011-2014)

　　现代控制理论(32学时，2012-2014，2017)

　　趣谈轨道交通(32学时，2016，20171)

　　研究生主讲课程：

　　鲁棒控制(32学时,2021)

　　线性系统(32学时,2019)

　　深度学习(32学时,2021，2022)

　　论文/期刊

　　代表性论文：

　　[1]. Xiuming Yao*, Xinyu Wen. Composite Hierarchical Hybrid Anti-Disturbance Control for Markovian Jump Systems with Event-Triggered Disturbance.

　　Systems & Control Letters, 2024.

　　[2]. Yu Yang, Xiuming Yao* and Hongze Xu. Disturbance-Observer-Based Event-Triggered Model Predictive Control of Nonlinear Input-Affine Systems. Automatica. 2024.

　　[3]. Boyang Zhao, Xiuming Yao*, Wei Xing Zheng. Fixed-Time Composite Anti-Disturbance Control for Flexible-Link Manipulators Based on Disturbance Observer. IEEE Transactions on Circuits and Systems--I: Regular Papers, 2024.

　　[4]. Hao Teng, Yukai Zhu, Jianzhong Qiao*, Xiuming Yao*, Lei Guo. Composite Attitude Tracking Control for Launch Vehicles Subject to Actuator Degradation Fault and Multiple Disturbances. IEEE Transactions on Industrial Informatics, 2024.

　　[5]. Yu Yang, Hongze Xu and Xiuming Yao*. Disturbance Rejection Self-Triggered Distributed MPC with Adaptive Prediction Horizon for Asynchronous Multi-Agent Systems. IEEE Transactions on Systems, Man and Cybernetics,

　　10.1109/TSMC.2024.3350157.

　　[6]. Hao Teng, Zhihui Wang, Yukai Zhu*, Xiuming Yao*, Lei Guo. Adaptive Fixed-Time Disturbance Observer-Based Proximity Control for Spacecrafts with Dynamic Obstacle Constraints. IEEE Transactions on Aerospace and Electronic Systems. DOI: 10.1109/TAES.2023.3308556.

　　[7]. Yu Yang, Hongze Xu and Xiuming Yao*. Disturbance Rejection Event-Triggered Robust Model Predictive Control for Tracking of Constrained Uncertain Robotic Manipulators. IEEE Transactions on Cybernetics. 2023. DOI: 10.1109/TCYB.2023.3305941.

　　[8]. Yu Yang, Hongze Xu and Xiuming Yao*. Inverse-Dynamics- and Disturbance-Observer-Based Tube Model Predictive Tracking Control of Uncertain Robotic Manipulator. Journal of the Franklin Institute, 2023, 360(10), 6906-6927.

　　[9]. Xiuming Yao*, Boyang Zhao, Xiaofeng Li and Shaohua Li. Distributed Formation Control Based on Disturbance Observers for High-Speed Trains with Communication Delays. IEEE Transactions on Intelligent Transportation Systems. 2023. DOI：10.1109/TITS.2023.3330536.

　　[10]. Xiuming Yao*, Boyang Zhao and Shaohua Li. Disturbance Observer-Based Tracking Control of High-speed Trains Under Adhesion Dynamics. IEEE Transactions on Automation Science and Engineering, 2023, DOI: 10.1109/TASE.2023.3238811.

　　[11]. Xiuming Yao*, Zhe Sun and H K Lam. Disturbance-Observer-Based Hierarchical Control for Vehicle Front Steering: Interval Type-2 Fuzzy System Approach. IEEE Transactions on Fuzzy Systems, 2024, 32(1): 137-151.

　　[12]. Yiran Xie, Boyang Zhao, Xiuming Yao*. Refined disturbance observer based prescribed performance fixed-time control of high-speed EMS trains with track irregularities. High-speed Railway. 2023, 1(3):171-178.

　　[13]. Xiuming Yao*, Zhe Sun and H K Lam. Uncertain Disturbance Attenuation and Rejection for Interval Type-2 Fuzzy Systems via Disturbance Observer. Information Sciences. 2022, 619, 340-357.

　　[14]. Shihui Jiang, Hongze Xu, Tianbo Zhang, Xiuming Yao*, Zhiqiang Long. Lazy Prescribed-time Synchronization Control of Half Bogie for High-speed Maglev Train Considering Track Irregularities and Input Constraints. IEEE Transactions on Vehicular Technology. 2022, 71(7): 6924-6937.

　　[15]. Yu Yang, Hongze Xu, Shaohua Li, Lingling Zhang, Xiuming Yao*. Time-Optimal Trajectory Optimization of Serial Robotic Manipulator with Kinematic and Dynamic Limits Based on Improved Particle Swarm Optimization. International Journal of Advanced Manufacturing Technology, 2022, pp(.): 1-12.

　　[16]. Xiuming Yao, Shaohua Li, and Xiaofeng Li*. Composite Adaptive Anti-Disturbance Fault Tolerant Control of High-Speed Trains with Multiple Disturbances. IEEE Transactions on Intelligent Transportation Systems. 2022, 23(11): 21799-21809.

　　[17]. Xiuming Yao, Ligang Wu, and Lei Guo*. Disturbance-Observer-Based Fault Tolerant Control of High-Speed Trains: A Markovian Jump System Model Approach. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020, 50(4): 1476-1485.

　　[18]. Xiuming Yao, Ju H. Park*, Ligang Wu and Lei Guo. Disturbance-Observer-Based Composite Hierarchical Anti-Disturbance Control for Singular Markovian Jump Systems. IEEE Transactions on Automatic Control, 2019, 64(7): 2875-2882.

　　[19]. Xiuming Yao, Ju H. Park*, Hairong Dong, Lei Guo and Xue Lin. Robust Adaptive Nonsingular Terminal Sliding Mode Control for Automatic Train Operation. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2019, 49(12): 2406-2415.

　　[20]. Xiuming Yao and Lei Guo*. Composite Anti-Disturbance Control for Markovian Jump Nonlinear Systems via Disturbance Observer. Automatica, 2013, 49(8):2538–2545.

　　[21]. Xiuming Yao, Ligang Wu and Wei Xing Zheng. Fault Detection for Discrete-Time Markovian Jump Singular Systems with Intermittent Measurements. IEEE Transactions on Signal Processing, 2011, 59(7): 3099–3109.

　　[22]. Xiuming Yao, Yue Lian and Ju H. Park. Disturbance-Observer-Based Event-Triggered Control for Semi-Markovian Jump Nonlinear Systems. Applied Mathematics and Computation, 2019, 363: 124597.

　　[23]. Xiuming Yao, Lei Guo, Ligang Wu and Hairong Dong. Static Anti-Windup Design for Nonlinear Markovian Jump Systems with Multiple Disturbances, Information Sciences, 2017, 418(24): 169-183.

　　[24]. Xiuming Yao, Nuandi Zhang, Ju H. Park. Composite Hierarchical Control for Markovian Jump Systems with Multiple Disturbances and Time-Varying Fault. Transactions of the Institute of Mesurement and Control, 2019, 41(7): ‏ 1948-1956.

　　[25]. Xiuming Yao, LingLing Zhang and Yue Lian. Composite event-triggered disturbance-observer-based control and passive control for semi-Markovian jump nonlinear systems with actuator saturation. International Journal of Control.2022.

　　[26]. Xue Lin, Xiuming Yao*. Improved Disturbance-Observer-Based Fault-Tolerant Control for the Linear System Subject to Unknown Actuator Faults and Multiple Disturbances. International Journal of Control, 2020, (10): 1-20.

　　[27]. Xiuming Yao and Lei Guo. Disturbance Attenuation and Rejection for Discrete-Time Markovian Jump Systems under Lossy Measurements. Information Sciences, 2014, 278(10): 673-684.

　　[28]. Ligang Wu, Xiuming Yao and Wei Xing Zheng. Generalized H2 Fault Detection for Two-dimensional Markovian Jump Systems. Automatica, 2012, 48(8): 1741-1750.

　　[29]. Xiuming Yao, Ligang Wu and Wei Xing Zheng. Quantized H∞ Filtering for Discrete-Time LPV Systems with Markovian Switching under Missing Measurements. International Journal of Robust and Nonlinear Control, 2013, 23(1): 1-14.

　　[30]. Xiuming Yao and Lei Guo. Composite Disturbance-Observer-Based Output Feedback Control and Passive Control for Markovian Jump Systems with Multiple Disturbances. IET Control Theory & Applications, 2014, 8(10): 873-881.

　　[31]. Xiuming Yao, Lianqing Zhu and Lei Guo. Disturbance-Observer-Based Control & H∞ Control for Nonlinear Markovian Jump Singular Systems with Multiple Disturbances. IET Control Theory & Applications. DOI: 10.1049/iet-cta.2014.0324.

　　[32]. Xiuming Yao, Ligang Wu, Wei Xing Zheng and Changhong Wang. Robust H∞ Filtering of Markovian Jump Stochastic Systems with Uncertain Transition Probabilities. International Journal of Systems Science, 2011, 42(7): 1219–1230.

　　[33]. Xiuming Yao and Wei Xing Zheng. On H∞ Consensus Filtering for Multi-Agent Systems. International Journal of System Science, 2014, 45(3): 523-531.

　　[34]. Xiuming Yao, Ligang Wu, Wei Xing Zheng and Changhong Wang. Passivity Analysis and Passification of Markovian Jump Systems. Circuits, System and Signal Processing, 2010, 29(4): 709–725.

　　[35]. Xiuming Yao, Fu Zhao, Mingxiang Ling and Changhong Wang. Delay-Dependent Robust H∞ Filtering for Uncertain Discrete-Time Jumping Systems with Mode-Dependent Delays. Journal of Systems Engineering and Electronics, 2009, 20(5):1072–1080.

　　专著/译著

　　[1] Xiuming Yao, Ligang Wu and Wei Xing Zheng. Filtering and Control of Stochastic Jump Systems. Springer: London, 2016

　　专利

　　在机电系统、智能交通系统领域已授权发明专利10余项。

　　软件著作权

　　获奖与荣誉

　　国家级青年人才计划入选者(2022年度)，2023

　　北京交通大学“三育人”教书育人先进个人，2021.

　　北京市本科优秀育人团队，2019.

　　北京交通大学教学成果奖，2021.

　　社会兼职

　　IEEE Senior Member;

　　中国自动化学会会员;

　　中国自动化学会导航制导与控制专委会委员;　　以上就是小编为大家分享的：“北京交通大学硕士研究生导师信息：姚秀明”，更多研究生导师信息，欢迎继续浏览新东方在线研究生导师频道。