01北京石油化工学院 电子信息专业型硕士调剂信息 学校:北京石油化工学院 专业:工学->电子信息 年级:2024 招生人数:1 招生状态:正在招生中 联系方式:********* (为保护个人隐私,联系方式仅限APP查看) 补充内容 调剂要求: 1. 本科为自动化相关专业; 2. 勤奋努力,数学功底好,有自动控制理论、现代控制理论课程基础,熟悉MATLAB编程,动手能力强,英语通过六级者优先。 导师介绍: 王彬,男,博士,2022年毕业于西班牙加泰罗尼亚理工大学(Universitat Politècnica de Catalunya, UPC),机器人与工业信息学研究所(Institut de Robòtica i Informàtica Industrial, IRI)自动化、机器人与视觉专业,获国家留学基金委国家建设高水平大学公派博士研究生项目全额奖学金,与英国、法国、荷兰的多个科研单位有深入交流合作。从事复杂机电系统建模和智能控制相关研究,迄今共发表SCI/EI科研论文8篇。目前已研制出第一代软体机器人控制与感知平台。有意向攻读博士的学生可以推荐至国内外多所高校,热忱欢迎有志于科研事业的年轻学子一起求知探索! 科研方向: 1. 仿生软体机器人建模与控制 2. 分布式参数系统自适应优化控制 3. 燃料电池用金属氢化物储氢系统状态估计 4. 工业机器人轨迹规划与智能感知 主要研究成果: 1. BinWang, Ramon Costa Castelló, Jing Na, Oscar de la Torre and Xavier Escaler. Modelling and adaptive parameter estimation for a piezoelectriccantilever beam, IEEE Transactions on Circuits and Systems I: Regular Papers,2022. 2. Bin Wang, Guanbin Gao, Tingli Su, andJing Na. Prescribed performance speed control for permanent magnet synchronousmotors. In Innovative Techniques and Applications of Modelling, Identificationand Control, pages 375–388. Springer, 2018. 3. Bin Wang, Guanbin Gao, Tingli Su, andJing Na. Prescribed performance motion control of nonlinear servo mechanismswith extended state observer. In 2017 9th International Conference onModelling, Identification and Control (ICMIC), pages 1020–1025. IEEE, 2017. 4. Jing Na, Bin Wang, Guang Li, SiyuanZhan, and Wei He. Nonlinear constrained optimal control of wave energyconverters with adaptive dynamic programming. IEEE Transactions on IndustrialElectronics, 66, no. 10 (2018): 7904-7915. 5. Siyuan Zhan, Bin Wang, Jing Na, andGuang Li. Adaptive optimal control of wave energy converters. IFAC,51(29):38–43, 2018. 6. Jing Na, Guang Li, Bin Wang, GuidoHerrmann, and Siyuan Zhan. Robust optimal control of wave energy convertersbased on adaptive dynamic programming. IEEE Transactions on Sustainable Energy,doi: 10.1109/TSTE.2018.2856802. 7. Chao Zhang, Jing Na, Bin Wang, andGuanbin Gao. Prescribed performance control for robotic systems with unknowndynamics. In Proceedings of 2018 Chinese Intelligent Systems Conference, pages467–477. Springer, 2019. 8. Siyuan Zhan, Jing Na, Guang Li, and BinWang. Adaptive model predictive control of wave energy converters. IEEETransactions on Sustainable Energy, doi: 10.1109/TSTE.2018.2889767. 来源:小木虫 https://muchong.com/t-16004453-1
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