序号
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时间
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地点
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报告题目
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报告人职称
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报告人单位
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1
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信息科学与工程学院
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2016年11月21日(星期一)
下午14:30
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教十楼409
学术报告厅
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Autonomous as Optimization-A Prospect of Control Expert
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Xiang Chen
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讲座教授
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University of Windsor
,Canada
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何明
027-68862349
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欢迎广大师生前往!
校科协 信息科学与工程学院
2016.11.18
Curriculum Vitae of Xiang Chen
Xiang Chen received his Ph. D. degree in systems and control from Louisiana State University in 1998. Since 2000, he has held cross-appointed faculty position with Department of Electrical and Computer Engineering and Department of Mechanical, Automotive and Materials Engineering at the University of Windsor and is currently a Professor in the Department of Electrical and Computer Engineering. He has made fundamental contribution to
Gaussian filtering and control and to the control theory of nonlinear systems with bifurcation. He has also made significant contribution to industrial applications of control and optimization in automotive systems and in vision based sensing systems through extensive collaborative research and development activities with robotic and automotive industries. Some of the deliverables have been patented by relevant companies or became transferred technologies to relevant companies. He is currently an Associate Editor for SIAM Journal on Control and Optimization and a Technical Editor for IEEE/ASME Transaction on Mechatronics. His research has been well supported by research funds from government agencies at both federal and provincial levels in Canada and from industrial companies in both Canada and USA. He received the New Faculty Award from Canadian Foundation of Innovation and from Ontario Centre of Excellence—Materials and Manufacturing Ontario. He also received three research awards from University of Windsor. His current research interests include automotive control and calibration, optimization of field sensor network for autonomous applications, and control of systems with complexities, He is a registered Professional Engineer in Ontario, Canada.
Abstract
‘Autonomous’ will play a critical role in ongoing Industry 4.0 with systematic ‘embedded intelligence’ into various industrial processes and systems, such as intelligent manufacturing and autonomous vehicles including UAVs, networked robotics, internet of things, etc.
In this talk, the frontiers of autonomous technologies and research as well as its applications are discussed. Besides, a task-oriented formulation of autonomous problems is proposed from optimization point of view with the field sensing to be at the center. It is intended to provide an update of the state-of-the-art research and development in autonomous applications and also introduce an access to the autonomous research.