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中国海洋大学工程学院导师教师师资介绍简介-付东飞

本站小编 Free考研考试/2020-11-27


姓名:付东飞
职称:副教授
职务:
专业:控制科学与工程
所在系(所、中心):自动化及测控系
通讯地址:青岛市崂山区松岭路238号中国海洋大学工程学院X116信箱
电子信箱:fudongfei@ouc.edu.cn
办公室电话:
传真:

主要学历:
2010.10 – 2016.06,Ghent University(比利时 根特大学),机电工程,博士
2007.09 – 2010.06,中国海洋大学,控制理论与控制工程,硕士
2003.09 – 2007.06,中国海洋大学,自动化,学士
学术经历:
2020.06 – ,中国海洋大学 工程学院自动化及测控系,“青年英才工程”岗位 副教授
2016.11 – 2020.04,华中科技大学 人工智能与自动化学院,博士后
研究方向:
模型预测控制理论,分布式预测控制算法,无人系统集群协同分布式控制,多智能体系统分布式控制,群体智能
讲授课程:
学术兼职:
第11届国际智能机器人及应用大会(2018 ICIRA)程序委员会共同主席,澳大利亚纽卡斯尔,2018年8月9-11日。
IEEE Trans. on Fuzzy Systems, IEEE Trans. on Circuits and Systems II: Express Briefs, IEEE Trans. on Industrial Informatics, Asian Journal of Control, J.of Process Contr., Int. J. of Prod. Res., Computers & Industrial Engineering SCI期刊审稿人。
学术成就、奖励及荣誉:
2017亚洲控制期刊(Asian Journal of Control)杰出审稿人
2016年获全国博士后管委会“博士后国际交流计划”人才引进项目
科研项目及角色:
国家自然科学基金,“多智能体系统的分布式模型预测控制理论与应用研究” **,2018.01-2020.12,28万,在研,主持。
中国博士后科学基金,“无人系统集群的模型预测控制策略研究” 2017M622448, 2017.09-2019.12,5万,结题,主持。
根特大学CWO开放基金,“分布式模型预测控制研究”,2014.09-2015.02,0.5万欧元,结题,主持。
EU-Erasmus项目,“模型预测控制理论及其在供应链管理中的应用” EMECW-Lisum**,2010.10-2014.06,6万欧元,结题,主持。
国家自然科学基金(重大研究计划培育项目),“基于信息物理系统的机械臂自主决策与控制” **,2018.01-2020.12,63万,在研,主要参与(2/9)。
国家自然科学基金(联合基金重点支持项目), “面向3C制造的多机器人协同敏捷装配共性理论与技术研究” U**,2018.01-2021.12,337万,在研,主要参与。
jun科委(国防科技创新特区),“***跨域异构群体智能涌现机理与调控方法研究” ,2018.11-2020.12,一期200万,在研,主要参与(3/13)。
湖北省自然科学基金创新群体项目,“水空跨域无人系统集群海洋装备协同控制研究” 2019CFA005,50万,2019.09-2022.9,在研,核心参与(7/11)。
发表论文
Dongfei Fu, Hai-Tao Zhang, Abhishek Dutta & Guanrong Chen, “A cooperative distributed model predictive control approach to supply chain management,” IEEE Trans. on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019. **, July 2019.IF9.309
Dongfei Fu, Hai-Tao Zhang, Ying Yu, Clara Ionescu, El-Houssaine Aghezzaf & Robin De Keyser,“A distributed model predictive control strategy for bullwhip reducing inventory management policy,” IEEE Tran. on Industrial Informatics, 15(2), pp. 932-941, Apr. 2018. IF9.112
Dongfei Fu, Clara M. Ionescu, El-Houssaine Aghezzaf & Robin De Keyser, “A constrained EPSAC approach to inventory control for a benchmark supply chain system,” Int. J. of Prod. Res., 54(1), 232-250, 2016. IF4.577
Dongfei Fu, Clara M. Ionescu, El-Houssaine Aghezzaf & Robin De Keyser, “Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy,” Computers & Industrial Engineering,81,46-57, 2015.IF4.135
Dongfei Fu, Clara M. Ionescu, El-Houssaine Aghezzaf & Robin De Keyser, “Decentralized and centralized model predictive control to reduce the bullwhip effect in supply chain management,” Computers & Industrial Engineering, 73, 21-31, 2014. IF4.135
Dongfei Fu, El-Houssaine Aghezzaf & Robin De Keyser, “A model predictive control framework for centralised management of a supply chain dynamical system,” Systems Science & Control Engineering, 2(1), 250-260, 2014. (EI: 20**6)
Hai-Tao Zhang, Weigao Sun, Yuanzheng Li, Dongfei Fu& Ye Yuan, “A fast optimal power flow algorithm using powerball method,” IEEE Trans. on Industrial Informatics, 16(11), pp. 6993-7003, Nov. 2020. DOI 10.1109/TII.2019.**,. IF9.112
Bin Liu, Hai-Tao Zhang, Haofei Meng, Dongfei Fu& Housheng Su, “Scanning-Chain Formation Control for Multiple Unmanned Surface Vessels to Pass Through Water Channels,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB. 2020.**, 24 June 2020. (IF: 11.079)
Jia Ding, Maolin Wang, Zuowei Ping, Dongfei Fu&Vassilios S. Vassiliadis, “An integrated method based on relevance vector machine for short-term load forecasting,” Eur. J. of Oper. Res., 287(2), pp. 497-510, Dec. 2020. (IF: 4.213)
Hai-Tao Zhang, Tao Zhu, Dongfei Fu, Bowen Xu, Xiao-Pu Han & Duxin Chen, “Spatiotemporal property and predictability of large-scale human mobility,” Physica A: Statistical Mechanics and its Applications, 495, pp. 40-48, 2018. IF2.924
Ruijuan Chen, Wei Pan, Dongfei Fu& Xin He, “Robust genetic circuit design: A mixed H∞ and IQC analysis,” Advances in Mathematical Physics, 2, 2017. IF1.130
Fu D, Ionescu C-M, De Keyser R. Supply chain management by applying an EPSAC ordering policy. 31stBenelux meeting on systems and control. Heijen, the Netherlands, March 27-29, 2012.
Fu D, Dutta A, Ionescu C-M, De Keyser R. Reducing the bullwhip effect in supply chain management by applying a model predictive control ordering policy. 14th IFAC Symposium on Information Control Problems in Manufacturing, Bucharest, Romania, May 21-23, 2012.(EI:623)
Fu D, Ionescu C-M, Aghezzaf E-H, De Keyser R. A centralized model predictive control strategy for dynamic supply chain management. 7thIFAC Conference on Manufacturing, Modelling, Management and Control, Saint Petersburg, Russia, June 19-21 2013. (EI20**3)
Hu Z, Fu D, Zhang H.-T. Decentralized finite time consensus for discrete-time high-order linear multi-agent system. The 38th Chinese Control Conference (CCC2019), Guangzhou, China, July 27-30, 2019.(EI20**3)
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