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南京航空航天大学自动化学院导师教师师资介绍简介-欧阳权

本站小编 Free考研考试/2021-02-20

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姓名: 欧阳权 性别: 男 职务:

职称: 讲师 导师类别: 硕士生导师 办公室: 自动化学院4号楼309
研究领域: 无人机蜂群控制,无人机飞行控制,新能源系统集成与控制,智能控制,非线性控制等
电话:
Email: ouyangquan@nuaa.edu.cn
个人简介
欧阳权,自动化学院讲师,硕士生导师,博士毕业于浙江大学控制科学与工程专业,本科毕业与华中科技大学自动化专业。主要研究方向为无人机蜂群控制,无人机飞行控制,新能源系统集成与控制,智能控制,非线性控制等。发表相关SCI/EI论文27篇,授权专利1项,公开发明专利6项,其中包括8篇一作/学生一作国际顶级SCI期刊IEEE汇刊(1篇为高引论文)。
主持国家自然基金青年项目1项,江苏省双创博士项目(世界名校类<高校创新>),浙江大学工业控制国家重点实验室开放课题,曾参与包括国家自然基金重点项目,装发等在内多个项目,指导本科生获得全国大学生电子设计竞赛(无人机组),中国机器人大赛等并获奖。
曾经获得硕士研究生国家奖学金(2014)、博士研究生国家奖学金(2017)、浙江大学三好研究生(2014、2017)、浙江大学优秀毕业生(2018)和浙江省普通高等学校优秀毕业生(2018)等荣誉。 IEEE Membership, 中国自动化学会会员,IEEE PES 中国区技术委员会动力电池技术分委会理事。担任IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Vehicular Technology等国际顶级SCI期刊的审稿人。
学术成果
期刊伦文
[1]Q. Ouyang, J. Chen, and J. Zheng, State of Charge Observer Design for Batteries with On-line Model Parameter Identification: A Robust Approach, IEEE Transactions on Power Electronics, vol. 35, no. 6, pp. 5820-5831, June 2020.
[2]Q. Ouyang, W. Han, C. Zou, G. Xu, and Z. Wang, Cell balancing control for lithium-ion battery packs: A hierarchical optimal approach, IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 5065-5075, 2020.
[3]Q. Ouyang, Z. Wang, K. Liu, and G. Xu, Optimal Charging Control for Lithium-Ion Battery Packs: A Distributed Average Tracking Approach, IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 3430-3438, 2020.
[4]Q. Ouyang, J. Chen, J. Zheng, and Y. Hong, SOC Estimation-Based Quasi-Sliding Mode Control for Cell Balancing in Lithium-Ion Battery Packs, IEEE Transactions on Industrial Electronics, vol. 65, no. 4, pp. 3427-3436, 2018.
[5]Q. Ouyang, J. Chen, J. Zheng, and H. Fang, Optimal Multiobjective Charging for Lithium-Ion Battery Packs: A Hierarchical Control Approach, IEEE Transactions on Industrial Informatics, vol. 14, no. 9, pp. 4243-4253, 2018.
[6]Q. Ouyang, J. Chen, J. Zheng, and H. Fang, Optimal Cell-to-Cell Balancing Topology Design for Serially Connected Lithium-Ion Battery Packs, IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 350-360, 2018.
[7]J. Chen, Q. Ouyang, C. Xu, and H. Su, Neural Network-Based State of Charge Observer Design for Lithium-Ion Batteries, IEEE Transactions on Control Systems Technology, vol. 26, no. 1, pp. 313-320, 2018.
[8]Q. Ouyang, G. Xu, K. Liu, and Z. Wang, Wireless Battery Charging Control for Electric Vehicles: A User-Involved Approach, IET Power Electronics, vol. 12, no. 10, pp. 2688-2696, 2019.
[9]Q. Ouyang, J. Chen, F. Wang, and H. Su, Nonlinear MPC Controller Design for Air Supply of PEM Fuel Cell Based Power Systems, Asian Journal of Control, vol. 19, no. 3, pp. 929-940, 2017.
[10]Q. Ouyang, Guotuan Xu, Huazhen Fang, Zhisheng Wang, and Nourallah Ghaeminezhad, Fast Charging Control for Battery Packs with Combined Optimization of Charger and Equalizers, IEEE Transactions on Industrial Electronics, accepted,2020.
[11]Q. Ouyang, R. Ma, Z. Wu, G. Xu, Z. Wang, Adaptive Square-Root Unscented Kalman Filter-Based State-of-Charge Estimation for Lithium-Ion Batteries with Model Parameter Online Identification. Energies, vol. 13, pp. 4968, 2020.
[12]J. Chen, Z. Liu, F. Wang, Q. Ouyang, and H. Su, Optimal Oxygen Excess Ratio Control for PEM Fuel Cells, IEEE Transactions on Control Systems Technology, vol. 26, no. 5, pp. 1711-1721, 2018.
[13]C. Xing, Z. Wang, Q. Ouyang*, C. Dong, and C. Duan, Image fusion method based on spatially masked convolutional sparse representation, Image and Vision Computing, vol. 90, pp. 103806, 2019.
[14]C. Xing, Z. Wang, Q. Ouyang, and C. Dong, Method based on Bitonic Filtering Decomposition and Sparse Representation for Fusion of Infrared and Visible Images, IET Image Processing, vol. 12, no. 12, pp. 2300-2310, 2018.
[15]W. Han, C. Zou, L. Zhang, and Q. Ouyang, Near-optimal Cell/Module Reconfiguration for Fast Charge, IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6954-6964, 2019.
[16]J. Zheng, J. Chen, and Q. Ouyang, Variable Universe Fuzzy Control for Battery Equalization, Journal of Systems Science and Complexity, vol. 31, no. 3, pp. 325-342, 2018.
[17]K. Liu, Y. Shang, Q. Ouyang and W. D. Widanage, A Data-driven Approach with Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery, IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.**.
会议论文
[1]Q. Ouyang, J. Chen, H. Liu and H. Fang, Improved cell equalizing topology for serially connected lithium-ion battery packs, IEEE Conference on Decision and Control, Las Vegas, NV, USA, 2016, pp. 6715-6720.
[2]Q. Ouyang, J. Chen, C. Xu and H. Su, Cell balancing control for serially connected lithium-ion batteries, American Control Conference, Boston, MA, USA, 2016, pp. 3095-3100.
[3]Q. Ouyang, J. Chen, and K. You, State of charge estimation of lithium-ion batteries with unknown model parameters, American Control Conference, Boston, MA, USA, 2016, pp. 4012-4017.
[4]Q. Ouyang, J. Chen, F. Wang, and H. Su, Nonlinear observer design for the state of charge of lithium-ion batteries. IFAC Proceedings Volumes, Cape Town, South Africa, 2014, pp. 2794-2799.
[5]Q. Ouyang, F. Wang, J. Chen, and X. Li, Power management of PEM fuel cell hybrid systems, Chinese Control Conference, Nanjing, China, 2014, pp. 7082-7087.
[6]H. Liu, J. Chen, Q. Ouyang, and H. Su, A Review on Prognostics of Proton Exchange Membrane Fuel Cells, IEEE Vehicle Power and Propulsion Conference, Hangzhou, China, 2016, pp. 1-6.
[7]F. Wang, Q. Ouyang, J. Chen, and H. Su, Feedback linearization control of the air supply system of PEM fuel cells, Asian Control Conference, Kota Kinabalu, 2015, pp. 1-6.
[8]Q. Ouyang, D. Zhang, Z. Wang, and C. Duan, User-Involved Optimal Charging Control for Lithium-Ion Batteries, Chinese Automation Congress, Xi’an, China, 2018, pp. 2482-2486.
[9]Q. Ouyang, R. Ma, Z. Wu, and Z. Wang, Optimal Fast Charging Control for Lithium-ion Batteries, IFAC Proceedings Volumes, Berlin, German, 2020, accepted.
[10]Y. Li, Z. Wang, S. Deng, and Q. Ouyang, Tracking control of a quadrotor UAV based on fusion filter, Chinese Automation Congress, Hangzhou, China, 2019, pp. 2641-2645.

承担项目
主持:1 国家自然科学基金;2 江苏省双创博士项目(世界名校类<高校创新>);3 浙江大学工业控制国家重点实验室开放课题。主参:1 国家自然基金重点项目;2 装备预先研究项目。









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