Prof. Li, Han Xiong,
BE-Aerospace(NUDT), IEEE Fellow,
City University of HongKong
Speech title: Multi-scale Control Design for Intelligent Manufacturing
Abstract: The intelligent manufacturing systems should have capabilities of flexibility, adaptability, and intelligence, etc.. As complexity keeps increasing in the manufacturing, this will require the control action to be distributed, and to be integrated with different approaches including system design and intelligence-based method.
For multi-time scale systems, the system should be designed for robust performance at the fast scale, and the statistics-based control will be applied at the slow-time scale for the consistent performance.
For the spatially distributed dynamic system, the uniform temporal performance is often required over the entire spatial domain. This strong space/time coupled dynamics makes the modeling and control extremely difficult, particularly under the limited sensing and actuating.
Intelligent manufacturing will need the decision system for the high-level supervision and management. The probabilistic-fuzzy system would be a useful platform as it possesses the capability to produce linguistic rules under both deterministic uncertainty and stochastic variation.
Control action will be different at different scales: more design at the fast time scale, and more control at the slow time scale; more quantitative action at the low-level operation, and more qualitative action at the high-level supervision. The integration of all these approaches is a large-scale challenge.
Biography: Han-Xiong LI (李涵雄) received his B.E. degree in aerospace engineering from the National University of Defence Technology, China, M.E. degree in electrical engineering from Delft University of Technology, Delft, The Netherlands, and Ph.D. degree in electrical engineering from the University of Auckland, Auckland, New Zealand.
Currently, he is a full professor in the Department of Systems Engineering and Engineering Management, the City University of Hong Kong. Over the last thirty years, he has had opportunities to work in different fields, including military service, investment, industry, and academia. He published over 190 SCI journal papers with h-index 36 (ISI web of science). He has been rated as highly cited Chinese scholar by Elsevier since 2014. His current research interests are in system intelligence and control, integrated process design and control, distributed parameter systems, intelligent learning and decision informatics.
Dr. Li serves as Associate Editor of IEEE Transactions on Systems, Man & Cybernetics: system (2016- ), IEEE Transactions on Cybernetics (2002-2016), and IEEE Transactions on Industrial Electronics (2009-2015). He was awarded the Distinguished Young Scholar (overseas) by the China National Science Foundation in 2004, a Chang Jiang professor by the Ministry of Education, China in 2006, and a national professorship in China Thousand Talents Program in 2010. He serves as the distinguished expert for Hunan Government and China Federation of Returned Overseas. He is a fellow of the IEEE.
Prof. Dong Hwa Kim, Hanbat National University, South Korea, KEC Director of TDTU&President of HuCare
Speech Title: Research Motivation and Hybrid Artificial Intelligence for the Automatic Control in 4th Wave Era of 21C?
Abstract: Many experts have been predicting that the Fourth Industrial Revolution on the Digital Revolution will change the social situation such as life style, product method, city, education, and etc. That is, our life pattern will be changed by robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology, IoT (Internet of Things), 3D printing, and autonomous vehicles.
It means these technologies will lead economy and can give opportunities to get a job. Of course, automation and product method will be changed by these technologies. So, as researcher and engineer, we should create on how an institution is organized, how it defines operation, how it relates to surrounding communities or teams, how it responds to research solutions or the results, and how it takes part in the strategies and plan.
With the results, technology will go to convergences and smart which gives an impact to works in plan for research, education. For that we need to connect research experiences and create idea.
This lecture deals with research motivation and hybrid artificial intelligence for automation, offers various research materials about hybrid artificial intelligence method and emotional technology as artificial intelligence obtained from research experience. Conclusion suggests many possible approaches and why it is important at this point to introduce artificial intelligence, especially why we should recognize and study emotion technology earlier.
And this lecture also gives why we should innovate and how we can obtain a good idea for emotion as topic of 4th wave through experience.
Biography: 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 echnology. 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).