Prof. Jie Chen, Academician of the Chinese Academy of Engineering
Beijing Institute of Technology, China
“Intelligent Cooperative Decision and Control of Multi-Agent Systems”
Abstract: The multi-agent systems have been shown to have wide and important applications in unmanned aerial vehicles, unmanned ground vehicles, unmanned warehouses, etc. Due to the intelligence, security and reliability requirements of multi-agent systems, the research on intelligent cooperative decision and control becomes increasingly urgent. In this presentation, three relevant research topics are introduced in detail: intelligent command and decision of multi-agent systems, cooperative fault detection and multi-agent sharing control. Correspondingly, the crucial techniques are presented for the role-based linear temporal logic design, cooperative fault detection based on 2 hybrid optimization and multi-objective optimization based sharing control. Finally, the future trends of the related research fields are given.
Biodata: Prof. Jie Chen is an Academician of Chinese Academy of Engineering, the President of Tongji University, Director of the State Key Laboratory of Intelligent Control and Decision of Complex Systems, Chief Scientist of a National 973 Basic Research Program, Principal Investigator of an Innovative-Research-Group Program supported by the Natural Science Foundation of China (NSFC). He is a Distinguished Young Scholar awarded by the NSFC, and a Changjiang Scholar Distinguished Professor awarded by the Chinese Ministry of Education. He serves as the Vice President of the Chinese Association of Automation, and an Executive Director of the Chinese Artificial Intelligence Society. He is also the Managing Editor for the Journal of Systems Science and Complexity, and editorial board members and associate editors for several renowned international journals, such as IEEE Transactions on Cybernetics, International Journal of Robust and Nonlinear Control, Science China Information Sciences, Control Theory & Technology, etc.
His main research interests include multi-objective optimization and decision for complex systems, cooperative control of multi-agent systems, and constrained nonlinear control. He has authored/co-authored 4 monographs and more than 80 SCI journal papers, and holds 43 patents of invention. He has received the second prize of National Natural Science Award of China once and the second prizes of National Science and Technology Progress Award of China twice.
简历：陈杰，工学博士，北京理工大学副校长、教授、博士生导师。 “复杂系统智能控制与决策”国家重点实验室主任、国家杰出青年科学基金获得者、教育部长江学者奖励计划特聘教授、国家自然科学基金创新研究群体学术带头人，教育部创新团队带头人，973项目首席，享受国务院特殊津贴，新世纪百千万人才工程国家级人才，全国优秀科技工作，IEEE Senior Member。现担任国务院学位委员会第七届学科评议组控制科学与工程组成员，中国自动化学会副理事长、控制理论专业委员会副主任，中国人工智能学会常务理事，《系统与控制》丛书、《JSSC》副主编，《火力与指挥控制》副主编、《中国科学F辑》、《CTT》、《信息与控制》等期刊编委。主要研究方向是：动态环境下复杂系统的多指标优化与多目标决策、控制及应用。近年来，以第一完成人获国家自然科学二等奖1项、国家科技进步二等奖2项，获省部级一等奖3项，出版专著和教材3部，发表学术论文200余篇，获授权发明专利60多项和软件著作权30多项。
Prof. Sam Shuzhi Ge
National University of Singapore, Singapore (IEEE FELLOW)
Biodata: Prof. Shuzhi Sam Ge, IEEE Fellow, P.Eng, is the Director of Social Robotics Lab, Interactive Digital Media Institute, and Supervisor of Edutainment Robotics Lab, Department of Electrical and Computer Engineering, The National University of Singapore. He received his PhD degree and DIC from the Imperial College, London, and BSc degree from Beijing University of Aeronautics & Astronautics. He has (co)-authored three books, and over 300 international journal and conference papers. He serves as Vice President of Technical Activities, 2009-2010, and Member of Board of Governors, 2007-2009, and Chair of Technical Committee on Intelligent Control, 2005-2008, of IEEE Control Systems Society. He served as General Chair and Program Chair for a number of IEEE international conferences. He is the Editor-in-Chief, International Journal of Social Robotics, and Springer. He has served/been serving as an Associate Editor for a number of flagship journals including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, and Automatica, and Book Editor for Taylor & Francis Automation and Control Engineering Series. He was the recipient of Changjiang Guest Professor, MOE, China, 2008; and Fellow of IEEE, USA, 2006.
Prof. Wang Jun
The Chinese University of Hong Kong, Hong Kong (IEEE FELLOW)
“Intelligent Control Based on Neurdynamic Optimization”
Abstract: Neurodynamic optimization play important roles intelligent control. In this talk, neurodynamic optimization approaches will be presented for in synthesis and realization of intelligent control systems. First, the robust pole assignment of linear control systems will be introduced based on neurodynamic optimization. Then, neurodynimics-based reference or command governor optimization will be delineated. Next, nonlinear and robust model predictive control based neurodynamic optimization will be discussed. Simulation and experimental results will also be shown to demonstrate the efficacy and performance of the proposed neurodynamics-based approaches for the intelligent control of various dynamic systems.
Biodata: Prof. Jun Wang is the Chair Professor Computational Intelligence in the Department of Computer Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and the Chinese University of Hong Kong. He also held various short-term visiting positions at USAF Armstrong Laboratory, RIKEN Brain Science Institute, Dalian University of Technology, Huazhong University of Science and Technology, and Shanghai Jiao Tong University (Changjiang Chair Professor). He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology and his Ph.D. degree in systems engineering from Case Western Reserve University. His current research interests include neural networks and their applications. He published over 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial board of Neural Networks (2012-2014), editorial advisory board of International Journal of Neural Systems (2006-2013. He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He is an IEEE Fellow, IAPR Fellow, and an IEEE Systems, Man and Cybernetics Society Distinguished Lecturer (2017-2018), and was an IEEE Computational Intelligence Society Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee; IEEE Computational Intelligence Society Awards Committee; IEEE Systems, Man, and Cybernetics Society Board of Governors, He is a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Neural Networks Pioneer Award from IEEE Computational Intelligence Society in 2014, among other distinctions.
Prof. Ing. Alberto Rovetta
Politecnico di Milano, Italy
Beihang University of Aeronautics and Astronautics, Beijing, Professor Emeritus, China
“Robotics of Artificial Intelligence and Nanotechnologies for Human and Post-Human Progress”
Abstract: In the history of humanity, we have never witnessed an increase in knowledge, culture, quality of life, wealth, as in the years after 2000. Science today is transformed into technology and into new technologies, which, if they have a economically valid result, they continue their existence with new products and results. The science of the human concerns life and human nature, which is intelligence and feeling. We have seen that robotics since 1970 has changed the world of work in a pervasive and increasingly widespread way. With just a few robots in the 70s and more than 3 million industrial robots today, industrial robotics built robots for heavy, repetitive, laborious and risky machining, and invaded the industrial culture of the late 1900s in an implacable way. last years artificial intelligence has been reborn, after the "long winter" of the years from 1985 to 2005. In the time called "the winter of artificial intelligence", around 1990, robotics continued its development undaunted, without however growing in system intelligence and the logical ability to manage situations, but able to perform well repeated, difficult actions, with control of movement and results. For artificial intelligence, new developments have come from the other road, that of cellular communication, from mobile phones, from the immense world of Internet networks after 2000, from communications and above all from data, word, text, voice, images. The world outside the human has entered heavily into the human. Slow companies have disappeared in their reaction to new realities. We had to grow in new directions with little expense and a lot of intelligence. An important contribution was made between 1996 and 2000 when scientific neurology was inserted into the logical processes of computers and consequently into robotics. The results of the neurological research showed how the right lobe of the brain, which lives on emotions, sensations, affects, was completely ignored in practical and informatic developments, and how they spoke only of logical actions created by the left hemisphere of the brain. Neurology finally offered its essential contribution.
Biodata: In 1980 he was appointed Full Professor in the Group of Machine applied Mechanics with a chair in Robot Mechanics, having previously held the chair in Machine Elements with design at the Politecnico di Milano (Faculty of Engineering). From 1991 he worked as a Professor in Robot Mechanics. From 1991-'92 he taught the Course in "Robot Mechanics" at the Politecnico di Milano (Faculty of Engineering). He also was teaching as Professor some courses in Industrial Design (Degree Course) at the Politecnico di Milano, Faculty of Architecture, where he conducted courses in: Visual Communication (1994); Foundations and Methods of Industrial Design (1995); Modelling and simulation of mechanical systems (1996), Robotics (1997). He also lectured in Bioengineering: Modelling and simulation of mechanical systems (1992, 1993). Now Professor of Progettazione Innovativa di Robot Intelligenti e di Sistemi Autonomi from 2006-2007, Politecnico di Milano, Laurea Specialistica, also in internet . Professor of the Course of Robotica Spaziale from 2005-6, for Ph.Students of Politecnico di Milano, also in Internet. Professor of Course in Space Robotics at Beijing University of Aeronautics and Astronautics , from 2006-7, also in Internet. Please browse more details here: