Prof. Chun-Yi Su, Concordia University, Canada
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. 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. He has been identified as 2019 and 2020 Highly Cited Researchers from the Web of Science Group. Dr. Su has served as Associate Editor for several journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Cybernetics, and several other journals. He is a Distinguished Lecturer of IEEE RA Society. He served for many conferences as an Organizing Committee Member, including the General Chairs and Program Chairs.
Speech Title: Modeling and Control of Magnetostrictive Actuator
Abstract: Magnetostrictive actuators featuring high energy densities, large strokes and fast responses are playing an increasingly important role in micro/nano-positioning applications. However, such actuators with different input frequencies and mechanical loads exhibit complex dynamics and hysteretic behaviors, posing a great challenge on applications of the actuators. To this end, a comprehensive model is developed. According to the proposed hysteresis model, an inverse Asymmetric Shifted Prandtl-Ishlinskii (ASPI) Model is proposed for the purpose of compensating the hysteresis effect. However, in real systems, there always exists a modeling error between the hysteresis model and the true hysteresis. The use of an estimated hysteresis model in deriving the inverse compensator would yield some degree of hysteresis compensation error. To accommodate such a compensation error, an analytical expression of the inverse compensation error is derived first. Then, a prescribed adaptive control method is developed to suppress the compensation error and simultaneously guaranteeing global stability of the closed loop system with a prescribed transient and steady-state performance of the tracking error. The effectiveness of the proposed control scheme is validated on the magnetostrictive- actuated experimental platform.
Prof. DP Sharma
PhD [Intranet-wares], DB2 &WSAD-IBM USA, FFSFE-Germany, FIACSIT- Singapore
AMUIT, MOEFDRE under UNDP & Ex. Academic Faculty Ambassador of Cloud Computing Offering (AI), IBM USA
The confluence of the four; an eminent Academician, Author, Researcher, and Rehabilitation Technology Expert, Prof. DP Sharma is a strategic innovator and international orator. He is the recipient of 49 National and International Awards and wide range of appreciations including India’s one of the highest civilian Award “Sardar Ratna Life Time Achievements International Award- 2015” (in memory of first Deputy Prime Minister of Independent India Sardar Vallabhbhai Patel). He has published more than a dozen of Books (i.e. 16 Text Books & 6 distance education book series as writer and editor) on various themes of Computer & IT and 131 International research papers/ articles (Print & Digital) in refereed International Journals/conferences. He provides strategic counsel and future based advisory to transform the management and governance practices through Information Technology and Cloud-based Computing Systems and Models. He has been serving various International Agencies like ILO (An autonomous agency of the United Nations), UNDP, DST GoI, VLIR-UOS- Belgium, and NYAS-USA in both internal and external consultant & advisor capacities. In August 2017 Dr. Sharma was nominated as Jury Member for National Award Selection Committee for Big Data Innovation Award by Ministry of Higher Technical Education, Govt of Rajasthan under National Science Innovation Mission India-2017. His 34 keynote/plenary speeches around the world on innovation, techno imagination, change agents, and strategic foresight in Computing and IT and other allied fields are commendable. He is a member of Editorial/Reviewer boards of 29 International Journals like IEEE, Elsevier and Springer, etc. He has supervised 12 Ph.D. scholars including academic staff from the University of Maryland-USA, University Paris- Sud France,Fiji National University-Fiji, Norton Software Company-UK, LG R&D Lab-Bangalore- India, MAISM under RTU-India, etc. He has guided over 25 Projects under the Academic Initiative of IBM-USA and later awarded as ‘Academic Faculty Ambassador for Cloud Computing offering’ by IBM-USA. He holds fellowships of several International scientific organizations like International Fellow of FSFE- Germany, International Fellow of International Association of Computer Science and IT- Singapore and 22 Senior Memberships/Memberships like IEEE-USA, ISOC, UNV, UACEE-Australia, CSTA-ACM- USA & Canada, SIE-Singapore and ICST-Belgium. He is an Expatriate Member, Doctoral Advisory Commission, Vrije University Brussels under VLIR-UOS, IUC Program-Belgium. His contributions to the technology-based rehabilitation under UN Convention for PWDs, ILO & UNDP schemes have been incomparable in the world. He has advised numerous projects and policy drafts for down-trodden communities under the schemes of the UN Convention for PWDs and IT Ethical Policies for Least Developed Countries (LDCs). He has traveled to many countries mainly South Korea, China, India, America, Singapore, Malaysia, Egypt, Ethiopia, Dubai, Yemen, Netherlands, France, Germany, Sudan, Turkey, etc. for academic assignments, distinguished Plenary/Keynote Speeches in International Conferences and conventions. He has been supporting the National Cleanliness Drive as a National Brand Ambassador nominated by Prime Minister. He received Red & White Bravery National Award in 2001 and the “Shantidoot (Peace Ambassador) International Award for Peace awareness campaign in Cyber Space in 2018. For more details, please visit http://dpsharma.info & https://en.wikipedia.org/wiki/D.P._Sharma.
Speech Title: Disruptive Insights of Computational Convergence and Intelligent Systems
Abstract: Convergences of technology have an extensive and profound impact on individuals and society towards changing the environments of computing, communication, and collaborations. Notwithstanding the widespread use and importance of such technologies in our everyday life, it is still relatively essential to know and expose its 180 degree hidden insights that are invisible and lying in the backend. In fact, machines have gained better features, capacity, intelligence, and honesty. The human generation will definitely be threatened upon the rapid intervention of technologies like artificial intelligence and computational brainpower. As a matter of fact, reverse gear is quite impossible. The scientific community and organizations like the international labor organization (ILO) are very much concerned about the alarming states. Several studies have revealed how such disruptions will trouble the employments and challenge the human capabilities in terms of speed, adaption, accuracy, precision with greater decline. The keynote talk will cover the barometer of these multi-parametric disruptions of convergences and present an advisory model for alleviating such magnitudes.
Prof. Ning Sun, Nankai University, China
Ning Sun received the B.S. degree in measurement & control technology and instruments (with honors) from Wuhan University, Wuhan, China, in 2009, and the Ph.D. degree in control theory and control engineering (with honors) from Nankai University, Tianjin, China, in 2014. He is currently an IEEE Senior Member. He is currently a Full Professor with the Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin, China. He was awarded the prestigious Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Research in Japan (Standard). His research interests include intelligent control for mechatronic/robotic systems with emphasis on (industrial) applications. Dr. Sun received the Wu Wenjun Artificial Intelligence Excellent Youth Award in 2019, the China 10 Scientific and Technological Developments in Intelligent Manufacturing (2nd achiever) in 2019, the First Class Prize of Wu Wenjun Artificial Intelligence Natural Science Award in 2017, the First Class Prize of Tianjin Natural Science Award in 2018, the Golden Patent Award of Tianjin in 2017, the IJCAS (International Journal of Control, Automation, and Systems) Academic Activity Award in 2018 and 2019, the Outstanding Ph.D. Dissertation Award from the Chinese Association of Automation (CAA) in 2016, etc. He is the Executive Editor for Measurement and Control and serves as an Associate Editor (editorial board member) for several journals, including IEEE ACCESS, Frontiers in Neurorobotics, International Journal of Control, Automation, and Systems, IET Cyber-Systems & Robotics, Transactions of the Institute of Measurement and Control, International Journal of Precision Engineering and Manufacturing, etc. Dr. Sun has been an Associate Editor of the IEEE Control Systems Society (CSS) Conference Editorial Board (including ACC, IEEE CDC) since July 2019, and he is an Associate Editor for IEEE ICRA 2021 and IEEE/RSJ IROS 2020.
Speech Title: Dynamics Analysis, Motion Planning, and Intelligent Control of Underactuated Crane Systems
Abstract: Being heavy industrial engineering machines, cranes have been playing very important roles in various fields, such as logistics, construction, metallurgy, and manufacturing, among others. The major task for cranes is to transport cargos from their initial positions to desired locations rapidly and accurately, with negligible swing. At present, most cranes used in practice are manipulated by human operators, which exhibits such drawbacks as low efficiency, poor anti-swing performance, incorrect operations, and high risks. Therefore, the problem of anti-swing positioning control for cranes important both theoretically and practically.
Cranes are typically underactuated systems, i.e., they have fewer control inputs than their degrees of freedom (DoFs), making their control problem challenging. In this presentation, I will first share some of our recent results on dynamics analysis, motion planning, and intelligent control of different crane systems, including overhead cranes, rotary cranes, tower cranes, ship-mounted cranes, etc., with hardware experiments and applications. Then, some of our extended and related researches on robotic systems with similar dynamic characteristics will also be discussed briefly, including self-balance robots, pneumatic artificial muscle (PAM)-actuated robots, metal ingot polishing-oriented industrial robots, and so forth.