Keynote Speakers

2019 The 5th International Conference on Electrical Engineering, Control and Robotics (EECR 2019)

"Modeling and Control of Hysteresis Nonlinearities in Smart Actuators"

Prof. Chun-Yi Su, Concordia University, Canada 加拿大肯高迪亚大学 苏春翌教授

BIOGRAPHY: Dr. Chun-Yi Su received his Ph.D. degrees in control engineering from South China University of Technology in 1990. After a seven-year stint at the University of Victoria, he joined the Concordia University in 1998, where he is currently a Professor of Mechanical and Industrial Engineering and holds the Concordia Research Chair in Control. He has also held several short-time visiting positions including a Chang Jiang Chair Professorship by China's Ministry of Education and JSPS Invitation Fellowship from Japan, and Qian Ren Talents Professor from China. His research covers control theory and its applications to various mechanical systems, with a focus on control of systems involving hysteresis nonlinearities. He is the author or co-author of over 400 publications, which have appeared in journals, as book chapters and in conference proceedings. In addition to his academic activities, he has worked extensively with industrial organizations on various projects. Dr. Su has been an Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, Mechatronics, Control Engineering Practice, and several other journals. He has served as Chair/Co-Chair for numerous international conferences

ABSTRACT: Hysteresis nonlinearities are very common in magnetic materials, smart materials and industrial systems. For decades, the existence of such nonlinearities have provided one of the most difficult challenges to control design engineers since the entire Laplace domain and most state space control design techniques were developed exclusively for differentiable linear or nonlinear systems. Hence, the existence of hysteresis nonlinearities in smart material based actuators and systems were neglected and the controllers were designed based on the nominal smooth systems. When the systems are considered with non-differentiable nonlinearities, these methods encountered substantial difficulties in the analysis, model fitting and control design stages. It was extremely difficult, if not impossible, to design or prove stability of such systems. The development of techniques for the identification of such nonlinearities in realistic industrial plants has emerged as a significant problem in itself. This talk is intended to raise awareness of modeling and control techniques and to provide an opportunity to discuss state-of-the-art solutions for the problems. The presentation and discussion will range from modeling of hysteresis, to the design of corresponding control schemes, especially in the absence of complete information concerning the system model and state.

"Biomimetic Control Design and Human Skill Transfer for Intelligent Robots"

Prof. Chenguang Yang, South China University of Technology, China 华南理工大学 杨辰光教授

BIOGRAPHY: Dr Yang received Ph.D. degree in control engineering from the National University of Singapore, Singapore, in 2010. He received postdoctoral training at Imperial College London, UK and was recipient of the EU Marie Curie International Incoming Fellowship as a named individual. He is a Senior Member of IEEE and a Fellow of Higher Education Academy (HEA). He has made significant contribution to the research on robot control and human robot interaction, as evidenced by 2011 King-Sun Fu Best Paper Award of the IEEE Transactions on Robotics, 2014 World Congress on Intelligent Control and Automation (WCICA) Steve and Rosalind Hsia Best Biomedical Paper Award, 2015 IEEE International Conference on Information and Automation (ICIA) Best Conference Paper Award, 2015 International Conference on Intelligent Robotics and Applications (ICIRA) Best Conference Paper Award, 2016 International Conference on Human System Interaction (HSI) Best Conference Paper Award, 2017 International Conference on Modeling, Identification and Control (ICMIC) Best Theory Paper Award, 2017 IEEE International Conference on Advanced Robotics and Mechatronics (IEEE ARM) Toshio Fukuda Best Mechatronics Paper Award, and a number of Best Student Paper awards received by his students.

ABSTRACT: In the near future, robots are expected to co-habit with our human beings and work closely with us in various fields and even our daily lives. Unfortunately, most of the current robot control technologies are designed for conventional industrial robots which operate behind safeguarding and for predefined tasks, and thus are not able to cope with the varying tasks in unknown dynamic environments. I have therefore developed human-like adaptive control techniques as well as highly effective human robot skill transfer techniques. My work follows the "from human and for human" principle, i.e., study human motor control skills, in order to develop better robot controllers to support human collaborators. My design not only enable versatile and dexterous robot manipulation but also make robot providing personalized assistance to human factors. My investigations not only create a new cross-disciplinary application area where physiologists are able to employ their knowledge and experiences together with roboticists, but will also have a huge impact on the robotics community, through in-depth investigations on the relation between humans and robots.

"Trend of AI Chips"

Prof. May Huang, International Technological University, USA

ABSTRACT: Artificial Intelligence (AI) is becoming a defining characteristic in many markets. Its potential to affect people's lives is hard to overstate. Since AI processing takes vast computing power, chips specially designed for AI have become an important technology trend. TPU, an ASIC chip developed by Google and deployed in massive data centers that underpin AlphaGo, has attracted global attention by its intelligence. Likewise, Intel, IBM, Microsoft, etc. announced their chips on neuromorphic computing. The market for AI chips is potentially enormous and will change the world, everything from, driving, entertaining, communication, to virtual and robotic assistants and much more.

BIOGRAPHY: Dr. May Huang is professor and chair of the electrical and computer engineering department and meanwhile servers as director of global relations division at International Technological University (ITU). She's a guest professor at School of Software and Microelectronics, Peking University (PKU), Institute of Microelectronics, Tsinghua University, and Beijing University of Post and Telecommunication, China. She established research activities at ITU including a joint research team with members from ITU and PKU. Dr. Huang brings over 20 years of Silicon Valley IC design and software design experience to her work. She was a principal designer and project manager at Virtual Silicon Technology, Hitachi Semiconductor America, VLSI Technology, Inc., etc. She participated as a member of working group and balloter on VITAL, Verilog and Analog Extensions of VHDL toward IEEE standard. Dr. Huang obtained her bachelor's degree from South China University of Technology in electrical engineering. She earned her master's degree from Santa Clara University and doctorate from ITU. Her research interests are IC design and artificial intelligence.


Prof. Alvin Y. Chua, De La Salle University, Philippines

BIOGRAPHY: Dr. Alvin Y. Chua is a Professor and the Chairman of the Mechanical Engineering Department of De La Salle University. He earned his BSME, MSME, and Ph.D. in ME at De La Salle University-Manila. As a scholar under the Department of Science and Technology-Engineering and Science Education Project (DOST-ESEP), he conducted his dissertation research at the University of New South Wales, Australia. He received a special citation for the 2003 NAST-DuPont Talent Search for Young Scientists (Mechanical Engineering). He was also awarded the 2015 Outstanding Student Adviser of the American Society of Mechanical Engineers (ASME). He has published in several journal publications and international conferences like Conference on Decision and Control (CDC), and Advance Intelligent Mechatronics (AIM).
His current research interests are on Mechatronics, and UAV systems. In his Mechatornics research, he was able to work on researches that improved the intelligence of articulated and mobile robot systems. He was also able to apply Mechanttonics to improve the energy generation of renewable energy systems. In his UAV systems research, he dealt with control techniques (e.g. Fuzzy Logic, Kalman Filters) for rotorcrafts (e.g. quadcopter, octocopter) and blimps for improved mobility. Currently, he is working on applying UAV technologies to disaster management and inspection applications. He also received a government grant under DOST-PCIEERD entitled ”Development of a Flight Controller for a Modular UAV”

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