Prof. Chun-Yi Su, Concordia University, Canada

Dr. Su received his B.E. degree in control engineering from Shaanxi Institute of Mechanical Engineering (now Xi'an University of Technology) in 1982, his M.S. and Ph.D. degrees in control engineering from South China University of Technology, China, in 1987 and 1990, respectively. His Ph.D. study was jointly directed at Hong Kong Polytechnic (now The Hong Kong Polytechnic University), Hong Kong. After long stint at the University of Victoria (1991-1998, Canada), he joined the Concordia University (Canada) in 1998, where he is currently Concordia Research Chair in Control and Professor of Mechanical Engineering. He has also held several short-time visiting positions in Japan, Singapore, China and New Zealand. Dr. Su's research covers control theory and its applications to various mechanical systems. His current main research interests are in control techniques for smart material based actuators, robotic and mechatronic systems, vehicle suspension and vibration, and nonlinear control systems. He is the author or co-author of over 180 publications, which have appeared in journals, as book chapters and in conference proceedings. Dr. Su is an Associate Editor of IEEE Transactions on Control Systems Technology, IEEE Transactions on Automatic Control, and Journal of Control Theory & Applications. He is on the Editorial Advisory Board of Mechatronics and on the Editorial Board of International Journal of Intelligent Systems Technologies and Applications. He has served on the technical program committee of numerous conferences in the area of control and automation. He has served as committee chairs of a number of these conferences, including the Program Chair of IEEE CCA07.

Speech Title: Modeling and Control of Hysteresis Nonlinearities in Smart Actuators: Magnetostrictive Actuator Case

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. Dong Hwa Kim, Hanbat National University, South Korea

Professor  Dong  Hwa  Kim  received  his  two  PhD  degrees  at  the  Department  of  Electronic Engineering,  at  Ajou  University  in  Korea  and  at  the  Department  of  Computational  Intelligence  and Systems  Science  at  the  Tokyo  Institute  of  Technology.  Since  1993  he  is  a  Professor  at  the  Department of  Instrumentation  and  Control  Engineering,  at  Hanbat  National  University.   He  is  currently  the  President  of  Daedeok  Korea‐India  Forum  and  Vice‐President  of  Daedeok  Korea‐Japan  Forum.  He  is  the  author  of  a  number  of  papers  and  articles  and  the  co‐author  of  two  books:  Hybrid  Genetic  Algorithm  and  Bacterial  Foraging  Approach  for  Global  Optimization  and  Robust  Tuning  of  PID  Controller  with  Distrbance  Rejection  and  Hybrid  Genetic:  Particle  Swarm  Optimization  Algorithm.  Among  his  many  awards,  he  received,  in  2010,  the  International  Einstein  Award  for  Scientific  achievement;  in  2008,  he  was  included  in  the  Top  100  Engineers  of  the  year  (UK),  and  received  the  Lifetime  of  Scientific  Achievement  Award  (UK)  and  the  Universal  Award  of  Accomplishment  (USA). 

Assoc. Prof. Jan Faigl, Faculty of Electrical Engineering (FEE), Czech Technical University (CTU), Czech Republic

Assoc. Prof. Jan Faigl received M.S. degree in Electrical Engineering, branch Technical Cybernetics, FEE, CTU, Czech Republic in 2003 and Ph.D. degree in Electrical Engineering and Information Technology, branch Artificial Intelligence and Biocybernetics, Faculty of Electrical Engineering (FEE), Czech Technical University (CTU), Czech Republic in 2010. He was a Member of the winner team for the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) in Challenge 3 and the 2nd place in Challenge 1. He has served as Program Committee Members in a number of these conferences and chairs of workshops in Organization of Scientific Meetings (2013-2017). Currently, He is also the guest editor of the special issue on "Online decision making in Multi-Robot Coordination" in Autonomous Robots journal. His research interests include: mobile robotics, multi-goal planning, path and motion planning, computational geometry, optimal sampling design, multi-robot systems, autonomous field navigation; in general, topics related to a robotic system for autonomous long-term environment monitoring.