报 告 人：陈翔，加拿大温莎大学（University of Windsor, Canada）教授
报告题目：Compatible Formation for UAVs with Visual Sensing Constraint
内容简介：Cameras have been applied as one of major sensors on Unmanned Aerial Vehicles (UAVs) for different purposes, such as data capturing and communication. This talk considers the problem of UAV formation through fish-eye cameras with limited Field of View (FOV) when other sensing and communication resources are degraded or faulted. The concept of Compatible Formation is introduced on the visual communication graph to characterize the group flying pattern of UAVs such that no blind spots are exhibited. It is shown that, if a formation is deemed as compatible under this new concept, a distributed control algorithm could then be developed and applied to steer UAVs into a visible region of some others, hence keeping the UAV group of the interest visually connected. The formation mechanism is implemented and experimentally validated on a group of autonomous vehicles.
报告人简介：Xiang Chen received M. Sc. and Ph. D. degree in system and control from Louisiana State University in 1996 and 1998. He held cross-appointed positions in Department of Electrical and Computer Engineering and Department of Mechanical, Automotive and Materials Engineering at the University of Windsor, Canada, and is currently a Professor in the Department of Electrical and Computer Engineering. He has made fundamental contribution to H∞ Gaussain filtering and control, control of nonlinear systems with bifurcation, networked control system, and optimization of field sensing network. He has also made significant contribution to industrial applications of control and optimization of automotive systems and visual sensing systems in manufacturing through extensive collaborative research and development activities with automotive, robotics, and manufacturing industries. Some of the deliverables have been patented by relevant companies or transferred to technological products of relevant companies. He is currently a Senior Editor for the IEEE/ASME Transactions on Mechatronics, an Associate Editor for SIAM Journal on Control and Optimization, and Associate Editors for International Journal of Intelligent Robotics and Applications, Control Theory and Technology (English Version), and Unman Systems. He received the Award of Best Paper Finalist from 2017 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, the Award of Best Student Paper Finalist (as supervisor author) from 2015 ASME DSCC, the New Opportunity Awards from the Canadian Foundation of Innovation and from the Ontario Centre of Excellence-- Materials and Manufacturing Ontario, and 4 times Research Awards from the University of Windsor. 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. His current research interests include model-guided optimization and control of systems with complexities, graph-/game-theoretic approaches for complex networked systems, control and optimization of field sensor networks for autonomous operations, as well as control applications to automotive systems and autonomous networked robotic vehicles. He is a registered Professional Engineer in Ontario, Canada.