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【學術報告】CPS系列報告之美國加州大學陳陽泉教授講座通知
2019-04-01 16:39   自動化學院 審核人:   (點擊: )

Mobile Actuator and Sensor Networks: from CPS to CHS

Speaker Name:YangQuan Chen

Speaker Title:Professor

Speaker Organization:

MESA Lab of University of California, Merced(美國加利福尼亞大學)

Start Time:

Wednesday, April 3, 2019 - 3:00pm(4月3日周三15:00)

Location:

自動化學院341會議室

Organizer:

楊飛生西工大信息物理系統控制與安全研究所(iCPS2)副所長

Abstract

Robotics will continue to be a hot topic in many years to come in this “big data, cloud computing, machine learning, virtual reality age”. This talk starts by first introducing a new angle for emerging multi-robot control research opportunities - treating robots as a network of moving actuators and/or moving sensors (MAS-net) that can communicate with each other, forming a bigger closed-loop controlled physical system or process, known as CPS (cyber-physical systems). Then I will further discuss the next step towards CHS: cyber-human systems, that extends our horizon of research attacks. I will share my belief that “Cyber-Human Systems” (CHS) will be a hot topic in the next 10-20 years as human (individual, team, society/community), computer (fixed, mobile and surrounds), and environment (physical, mixed and virtual) fuse.

Bio

YangQuan Chen earned his Ph.D. from Nanyang Technological University, Singapore, in 1998. He had been a faculty of Electrical Engineering at Utah State University from 2000-12. He joined the School of Engineering, University of California, Merced in summer 2012 teaching “Mechatronics”, “Engineering Service Learning” and “Unmanned Aerial Systems” for undergraduates; “Fractional Order Mechanics”, “Nonlinear Controls” and “Advanced Controls: Optimality and Robustness” for graduates. His research interests include mechatronics for sustainability, cognitive process control, small multi-UAV based cooperative multi-spectral “personal remote sensing”, applied fractional calculus in controls, modeling and complex signal processing; distributed measurement and control of distributed parameter systems with mobile actuator and sensor networks.

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