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【学术报告】研究生“灵犀学术殿堂”第510期之葛树志教授报告会通知
2019-10-26 12:45   党委学生工作部 审核人:   (点击: )

全校师生:

我校定于2019年10月26日举办研究生灵犀学术殿堂——葛树志教授报告会,现将有关事项通知如下:

1.报告会简介

报告人:葛树志教授

时间:2019年10月26日(星期六)下午16:00

地点:友谊校区航海学院东配楼会议室

报告题目:Robust Adaptive Learning for Marine Control

     船舶控制的鲁棒自适应学习

内容简介: Offshore operations have been moving towards ultra-deep waters, more challenging environment and arctic areas where richer resources are detected and to be mined. One of the unavoidable challenge we have to cope with is the large amount of shielding effects due to Floating Production Storage and Offloading (FPSO) in the vicinity. We are not only interested in designing control systems for the floatel system which is highly robust and adaptive to the environmental impacts while maintaining/increasing the uptime of operations between the floatel and FPSO, but also to provide guidelines in designing the next generation floatel for the industry. In this lecture, I will first give an introduction of the robust adaptive learning control systems, then go through modelling and control of subsea installations. Multi-agent cooperation is in great demand driven by the need for sea. Formation control for marine surface vessels is next introduced. I also would like to conclude my lecture by presenting an experiment on autonomous surface vessel to address technical issues industry faces.

近海作业一直在向超深水、更富挑战性的环境和北极地区移动,那里有更丰富的资源被发现和开采。我们不得不应对的一个不可避免的挑战是,附近浮式生产储油卸油(FPSO)所产生的大量屏蔽效应。我们不仅是兴趣floatel系统设计控制系统是非常健壮的和自适应的环境影响,同时保持/提高正常运行时间之间的操作floatel和单点,但也提供指导在设计下一代floatel行业。在这一讲中,我将首先介绍鲁棒自适应学习控制系统,然后通过建模和水下设备的控制。基于sea的需求,多智能体协作有着巨大的需求。接下来介绍海洋水面舰艇的编队控制。最后,我想以自主水面舰艇的实验来结束我的演讲,以解决工业面临的技术问题。

2.欢迎各学院师生前来听报告。报告会期间请关闭手机或将手机调至静音模式。

党委学生工作部

航海学院

2019年10月25日

报告人简介

Professor Shuzhi Sam Ge is director of Social Robotics Lab and Smart Systems Institute in the Department of Electrical and Computer Engineering of the National University of Singapore. He received BSc degree and MSc degree from Beijing University of Aeronautics & Astronautics in 1986, and received his Ph.D. degree and Diploma of Imperial College in Mechanical/Electrical Engineering from the Imperial College in 1993. Since 1993, he has been with the National University of Singapore. He is a Fellow of IEEE, IFAC, IET and Singapore Academy of Engineering.

His research interests include but not limited to social robotics, intelligent systems, and intelligent equipment. He was the recipient of Inaugural Temasek Young Investigator Award (2002), Defence Science and Technology Agency (DSTA) and National Technology Award of the National Science & Technology Board (2002), NSFC National Outstanding Youth Award (2001) and IEEE Control Systems Society Distinguished Member Award (2013). He has (co)-authored 7 books, and over 800 international journal and conference papers, with high H index (82) and citations (27,000). He is Clarivate Analytics (former Thomson Reuters) high-cited scientist in 2016-2018, Elsevier high-cited scientist in 2014-2018.

葛树志教授是新加坡国立大学电子与计算机工程系社会机器人实验室与智能系统研究所所长。1986年获北京航空航天大学理学学士学位和理学硕士学位,1993年获帝国理工学院机电工程博士学位和文凭。自1993年以来,他一直在新加坡国立大学工作。他是IEEE、IFAC、IET和新加坡工程院院士。

他的研究兴趣包括但不限于社交机器人、智能系统和智能设备。他曾获首届淡马锡青年研究员奖(2002年)、国防科技署(DSTA)、国家科学技术委员会国家科技奖(2002年)、国家自然科学基金委员会国家杰出青年奖(2001年)和IEEE控制系统学会杰出会员奖(2013年)。他(与人)合著了7本书,发表了800多篇国际期刊和会议论文,高H指数(82篇)和被引用(2.7万篇)。他是Clarivate Analytics(前汤森路透)2016-2018年度高被引科学家,2014-2018年度Elsevier年度高被引科学家。


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