報(bào)告題目：Data-driven methods and their applications in fuel cell systems
報(bào)告人：Dr.Zhongliang LI
主持人：趙冬冬副教授
報(bào)告時(shí)間：2019年4月12日（周五）下午14:30
報(bào)告地點(diǎn)：自動(dòng)化學(xué)院254會(huì)議室
報(bào)告簡(jiǎn)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(bào)告人簡(jiǎn)歷：
Li Zhongliang，法國(guó)艾克斯-馬賽大學(xué)副教授，主要研究領(lǐng)域?yàn)槿剂想姵叵到y(tǒng)故障診斷及容錯(cuò)控制，近五年在該領(lǐng)域發(fā)表論文28篇，其中IEEE、Elsevier頂級(jí)SCI期刊論文15篇。主持參與歐盟H2020、法國(guó)國(guó)家科學(xué)研究中心（CNRS）、ANR等項(xiàng)目5項(xiàng)。教育經(jīng)歷：2009年、2011年分別獲清華大學(xué)電氣工程專(zhuān)業(yè)學(xué)士、碩士學(xué)位，2014年獲法國(guó)艾克斯-馬賽大學(xué)博士學(xué)位。工作經(jīng)歷：2014至2016年法國(guó)國(guó)家燃料電池實(shí)驗(yàn)室（FCLAB）博士后，2016年至今艾克斯-馬賽大學(xué)副教授。
