Special Session 4: Intelligent Perception and Control of Networked Motion Control Systems
网络化运动控制系统智能感知与控制

Organizers:

Dan Zhang, Zhejiang University of Technology, China
Jun Cheng, Guangxi Normal University, China
Xin Wang, Sichuan University, China

Submission Guideline:
Please submit your manuscript via EasyChair https://easychair.org/conferences/?conf=iccar2027
Please choose Special Session 4: Intelligent Perception and Control of Networked Motion Control Systems.

Organizer BIO:

Dan Zhang

Dan Zhang

Zhejiang University of Technology, China

Dan Zhang received the B.E. degree in automation and the Ph.D. degree in Control Theory and Control Engineering from the Zhejiang University of Technology, Hangzhou, China, in 2007 and 2013, respectively. He was a Research Fellow with Nanyang Technological University, Singapore, from 2013 to 2014, the National University of Singapore, Singapore, from 2016 to 2017, and the City University of Hong Kong, Hong Kong, from 2017 to 2019. He is now a full professor at the Department of Automation, Zhejiang University of Technology.

Dr. Zhang’s current research interests are in the areas of industrial cyber-physical systems, cooperative control of multi-agent systems, artificial intelligence and fault diagnosis. Dr. Zhang serves as an Associate Editor of ISA Transactions, International Journal of Control, Automation, and Systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, and Cyber-Physical Systems.

Jun Cheng

Jun Cheng

Guangxi Normal University, China

Jun Cheng received the Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2015. From 2015 to 2019, he is a staff with the Hubei University for Nationalities. He was a Visiting Scholar with the National University of Singapore, Singapore, from 2013 to 2014, and the Yeungnam University, Gyeongsan, South Korea, in 2016, 2018 and 2020. Since 2019, he has been with the Guangxi Normal University, Guilin, China, where he is currently a Full Professor with the School of Mathematics and Statistics. His current research interests include analysis and synthesis for stochastic hybrid systems, networked control systems, and nonlinear systems. Dr. Cheng has been a recipient of Highly Cited Researcher Award listed by Clarivate Analytics since 2019. He serves as an Associate Editor of the International Journal of Control, Automation, and Systems.

Xin Wang

Xin Wang

Sichuan University, China

He received his Ph.D. degree in Engineering from the University of Electronic Science and Technology of China in December 2018. From September 2016 to September 2018, he was a visiting scholar at the University of Waterloo, Canada. From January 2019 to September 2022, he served as an Associate Professor in the College of Electronic and Information Engineering at Southwest University. Concurrently, from January 2021 to September 2022, he was a postdoctoral fellow at the City University of Hong Kong. In October 2022, he joined the School of Cyber Science and Engineering at Sichuan University as an introduced talent. His research interests mainly focus on cyber-physical systems attack and detection, multi-agent systems, optimization algorithms, and robust control. In recent years, he has published more than 30 academic papers as the first author in well-known SCI-indexed international journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Cybernetics, among which 17 papers belong to the IEEE Transactions series.

Introduction:

Industrial automation has entered a stage of rapid development. The overall industrial upgrading of the equipment manufacturing industry has begun to accelerate. The demand of leading manufacturing enterprises for new technologies, new products and new solutions such as robots and intelligent equipment continues to rise. The time has come for the large-scale popularization of motion control technology. The motion control system, based on the motor as the carrier and relying on the network control technology, has been widely used in industrial motors, CNC cutting machines, robot equipment and many other fields. With the transformation and upgrading of today's industry, the motion control system is developing towards the direction of openness, networking and intelligence. However, after the introduction of communication network into motion control system, the perception, interaction and control mode of the control system have undergone tremendous changes, which has broken the relatively closed and trusted environment of the control systems and brought great challenges to the analysis and design of the motion control systems.

This special session welcomes, the research on intelligent networked motion systems that could effectively improve the performance of the system including perception, optimization, and control. We believe that this special session will contribute a practical and comprehensive forum for exchanging novel research ideas or empirical practices.

Keywords: Industrial cyber-physical systems; motion control systems; intelligent robots; robust control techniques; intelligent filtering; deep learning; cyber security; intelligent vehicles

Topics of interest include, but are not limited to:
*Intelligent modeling and control of networked motion control systems
*Deep learning-based monitoring of motion control systems
*Optimization of communication resource
*Adaptive control of control systems
*Learning-based control of motion systems
*Cyber attack diagnosis of autonomous motion systems
*Security control of networked motion control systems
*Other related topics on networked control systems