報告題目：Data-driven methods and their applications in fuel cell systems
報告人：Dr.Zhongliang LI
主持人：趙冬冬副教授
報告時間：2019年4月12日（周五）下午14:30
報告地點：自動化學院254會議室
報告簡介：Currently, a large amount of data is being produced and stored during the different system operations. It would be very useful if the behaviors of the systems can be learned from both stored and online acquired data. In addition, data can also be processed to directly design the controller, predict and evaluate system states, and perform real-time optimizations. Data-driven learning and control is playing a more and more important role in today’s automatic control domain. On the other hand, fuel cell systems have posed some research problems in the automatic control field, such as distributed nature, multi-domain and time varying, complex dynamics, multiple time and space scales. This calls for more targeted modelling and control methods and the data-driven ones can be promising alternatives. In this report, some data-driven methods are designed and developed specifically for fuel cell systems. Especially, the data-driven diagnosis, prognosis of fuel cell systems will be talked about.
報告人簡歷：
Li Zhongliang，法國艾克斯-馬賽大學副教授，主要研究領域為燃料電池系統故障診斷及容錯控制，近五年在該領域發表論文28篇，其中IEEE、Elsevier頂級SCI期刊論文15篇。主持參與歐盟H2020、法國國家科學研究中心（CNRS）、ANR等項目5項。教育經歷：2009年、2011年分別獲清華大學電氣工程專業學士、碩士學位，2014年獲法國艾克斯-馬賽大學博士學位。工作經歷：2014至2016年法國國家燃料電池實驗室（FCLAB）博士后，2016年至今艾克斯-馬賽大學副教授。
