殷辰堃，男，博士，北京交通大學電子信息工程學院任教。
基本介紹
- 中文名：殷辰堃
- 學位/學歷：博士
- 職業：教師
- 專業方向：控制理論與控制工程
- 就職院校：北京交通大學電子信息工程學院
個人經歷,主講課程,研究方向,學術成果,獲獎記錄,
個人經歷
教育背景
2006/09-2011/06，北京交通大學，電子信息工程學院，交通信息工程及控制專業，工學博士，導師：侯忠生
2008/08-2009/09，新加坡國立大學，Electrical and Computer Engineering Department，國家公派聯合培養博士生，導師：Jian-Xin Xu
2003/09-2006/06，山東大學，數學與系統科學學院，運籌學與控制論專業，理學碩士，導師：吳臻
工作經歷
2011年7月至今在北京交通大學電子信息工程學院任教
社會兼職
中國自動化學會數據驅動控制、學習與最佳化專業委員會副秘書長、通訊員；
IEEE Transactions on Systems, Man, and Cybernetics、IEEE Transactions on Industrial Electronics、IEEE Transactions on Neural Networks and Learning Systems、Asian Journal of Control、Neurocomputing、自動化學報、控制與決策等學術期刊和若干控制領域會議的審稿人；
數據驅動控制與學習系統學術會議（DDCLS）秘書、AE。
主講課程
- 本科：運籌學基礎，Matlab基礎與套用，自動化專業綜合實驗
- 研究生：道路交通控制工程，最最佳化理論與方法
研究方向
控制理論與控制工程
學術成果
科研項目
基本科研業務費:受限疊代學習控制及其在列車運行控制中的套用,2017-2018,主持
基本科研業務費:基於最佳化理論的疊代學習控制器設計及魯棒性研究,2012-2014,主持
人才基金:無模型自適應預測控制在列車運行控制中的套用,2011-2011,主持
中國船舶工業系統工程研究院:AIS目標航跡建航與濾波技術研究,2014-2015,主持
北京市信息資源管理中心:2012年資源專項分包之綠色出行主題目錄信息共享套用,2012-2013,主持
國家自然科學基金“重點項目”:數據驅動的捷運無人智慧型駕駛基礎理論與技術,2019-2023,參加
國家自然科學基金“重點項目”:大數據環境下的複雜城市交通系統預測與控制,2015-2019,參加
國家自然科學基金“重點項目”:廣義疊代學習控制理論及在高速列車運行控制中的套用,2012-2016,參加
國家自然科學基金“主任基金項目”:數據驅動的自適應疊代學習控制及其在交通系統中的套用,2011-2011,參加
國家自然科學基金“面上項目”:高階內模學習控制理論及在快速路交通控制中的套用,2008-2010,參加
基本科研業務費:智慧型高速鐵路系統理論方法體系研究,2018-2021,參加
基本科研業務費:城市路網巨觀區域劃分與邊界交通流混雜控制方法研究,2016-2018,參加
北京航天自動控制研究所:基於數據驅動的飛行控制技術研究,2017-2018,參加
中國航天系統工程有限公司:快速路入口匝道控制系統開發,2012-2013,參加
中國航天系統工程有限公司:城市道路交通調查、布控與公交應急系統設計與布設,2013-2013,參加
論文/期刊
Chenkun Yin, Jian-Xin Xu and Zhongsheng Hou, “Iterative learning control design with high-order internal model for nonlinear systems,” in Proceedings of the 48th IEEE Conference on Decision and Control held jointly with the 2009 28th Chinese Control Conference, Shanghai, China, Dec. 2009.
Chenkun Yin, Jian-Xin Xu and Zhongsheng Hou, “An ILC scheme for a class of nonlinear systems with time-varying parameters subject to second-order internal model,” in Proceedings of the 48th IEEE Conference on Decision and Control held jointly with the 2009 28th Chinese Control Conference, Shanghai, China, Dec. 2009.
Chenkun Yin, and Zhongsheng Hou, “Adaptive iterative learning control for a class of iteration-varying nonlinear systems with known periodicity,” in 2009 International Conference on Test and Measurement, Shenzhen, China, Dec. 2009,
Chenkun Yin, Jian-Xin Xu and Zhongsheng Hou, “On iterative learning control design for tracking iteration-varying trajectories with high-order internal model,” Journal of Control Theory and Applications, special issue in honor of the 60th Birthday of Professor Frank L. Lewis, 2010
殷辰堃, 許建新, 侯忠生, “兩種基於二階內模的疊代學習控制器設計,” 北京交通大學學報, 2010
Chenkun Yin, Jian-Xin Xu and Zhongsheng Hou, “A high-order internal model based iterative learning control scheme for nonlinear systems with time-iteration-varying parameters,” IEEE Transactions on Automatic Control,2010
Chenkun Yin, Jian-Xin Xu and Zhongsheng Hou, “Corrections to “A high-order internal model based iterative learning control scheme for nonlinear systems with time-iteration-varying parameters”,” IEEE Transactions on Automatic Control, 2011
Chenkun Yin, Jian-Xin Xu and Zhongsheng Hou, “An ILC scheme for a class of nonlinear continuous-time systems with time-iteration-varying parameters subject to second-order internal model,” Asian Journal of Control, special issue on Iterative Learning Control, 2011
Zhongsheng Hou, Yi Wang, Chenkun Yin and Tao Tang, “Terminal iterative learning control based station stop control of a train,” International Journal of Control, special issue on Iterative Learning Control, 2011
Wen Yang, Chenkun Yin and Zhongsheng Hou, “A novel energy efficient operation strategy for a train based on model-free adaptive predictive control,” in Proceedings of the 31st Chinese Control Conference, Heifei, China, July 2012
Zhenxuan Li, Chenkun Yin, Shangtai Jin and Zhongsheng Hou, “Iterative learning control based automatic train operation with iteration-varying parameter,” in Proceedings of the10th IEEE International Conference on Control and Automation (ICCA), Hangzhou, China, June 2013
Shida Liu, Zhongsheng Hou and Chenkun Yin, “Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporating with relevance vector machine,” in Proceedings of the 11th IEEE International Conference on Control and Automation (ICCA), Taichung, Taiwan, June 2014, pp.
Shida Liu, Zhongsheng Hou and Chenkun Yin, “Data driven modeling for UGI gasification process via a variable structure genetic BP neural network,” in Proceedings of 2014 International Joint Conference on Neural Networks (IJCNN), Beijing, China, July 2014, pp.
Zhenxuan Li, Zhongsheng Hou and Chenkun Yin, “Iterative learning control for train trajectory tracking under speed constrains with iteration-varying parameter,” Transactions of the Institute of Measurement and Control, Vol. 2015
王明月, 殷辰堃, “基於合作博弈的道路交叉口信號配時最佳化策略”, 第27屆中國控制與決策會議 (2015 CCDC), Qingdao, China, March 2015
Zhongsheng Hou, Qiongxia Yu, Jian-Xin Xu and Chenkun Yin, “A simultaneous iterative learning control and dynamic modeling approach for a class of nonlinear systems”, in Proceedings of the 17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China, Oct 2015
Ruikun Zhang, Zhongsheng Hou, Honghai Ji and Chenkun Yin, “Adaptive iterative learning control for a class of nonlinearly parameterized systems with input saturations,” International Journal of Systems Sciences, Vol. 2016
鄭璟瑜, 殷辰堃, “基於改進小波閾值去噪的MFAC擾動抑制方法”, 自動化套用, 2016
Shida Liu, Zhongsheng Hou and Chenkun Yin, “Data-driven modeling for UGI gasification processes via an enhanced genetic BP neural network with link switches,” IEEE Transactions on Neural Networks and Learning Systems, 2016
Zhongsheng Hou, Shida Liu and Chenkun Yin, “Local learning-based model-free adaptive predictive control for adjustment of oxygen concentration in syngas manufacturing industry,” IET Control Theory & Applications, special issue on “Data-driven Control, and Data-Based System Modelling, Monitoring, and Control”, Vol.10, 2016
Yanlin Wang and Chenkun Yin, “Study on vehicle fuel consumption and emission characteristics based on floating vehicle data of Beijing”, in Advances in Engineering Research (AER) Vol. 107 - 2nd International Conference on Materials Engineering and Information Technology Applications (MEITA 2016), Qingdao, China, Dec. 24-25, 2016
Shuo Zhen, Zhongsheng Hou and Chenkun Yin, “A novel data-driven predictive control for networked control systems with random packet dropouts”, in Proceedings of 2017 IEEE the 6th Data-Driven Control and Learning Systems Conference, Chongqing, China, May 2017
Xian Yu, Zhongsheng Hou and Chenkun Yin, “Iterative learning control for discrete-time nonlinear systems based on adaptive tuning of 2D learning gain”, in Proceedings of the 36th Chinese Control Conference, Dalian, China, July,2017
Haijun Gong, Chenkun Yin, Fang Zhang, Zhongsheng Hou and Ruikun Zhang, “A path planning algorithm for unmanned vehicles based on target-oriented rapidly-exploring random tree”, in Proceedings of 2017 11th Asian Control Conference (ASCC), Gold Coast, Australia, Dec. 2017
丁瑩, 金尚泰, 殷辰堃, 侯忠生, 城市交通區域的疊代學習邊界控制, 控制與決策, 2018
Zhongsheng Hou, Xian Yu and Chenkun Yin, “A data-driven iterative learning control framework based on controller dynamic linearization”, in Proceedings of American Control Conference, Milwaukee, USA, June 2018,
侯忠生, 李振軒, 任天琦, 殷辰堃, 一種列車的隧道附加空氣阻力疊代學習辨識方法, 發明專利, 2018
獲獎記錄
殷辰堃，基於高階內模的疊代學習控制及套用，北京交通大學優秀博士論文，北京交通大學，2011
2017年，北京交通大學電子信息工程學院優秀班主任
