Keynote Lectures
Using Delays for Control
Prof. Emilia Fridman, IEEE Fellow
Tel Aviv University, Israel
Abstract
In this talk by "using delays" I understand either Time-Delay Approaches to control problems (that originally may be free of delays) or intentional inserting delays to the feedback. I will start with an old Time-Delay approach to sampled-data control. In application to network-based control with communication constraints, this is the only approach that allows treating transmission delays larger than the sampling intervals. I will continue with "using artificial delays" leading to simple static output-feedback instead of observer-based control. Finally I will present a New Time-Delay approach - this time to Averaging, where the existing methods are qualitative: the original system is stable for small enough values of the parameter if the averaged system is stable. Our approach provides the first Quantitative bounds on the small parameter making averaging-based control reliable.
Biography
Emilia Fridman received the M.Sc. degree from Kuibyshev State University, USSR, in 1981 and the Ph.D. degree from Voronezh State University, USSR, in 1986, all in mathematics. From 1986 to 1992 she was an Assistant and Associate Professor in the Department of Mathematics at Kuibyshev Institute of Railway Engineers, USSR. Since 1993 she has been at Tel Aviv University, where she is currently Professor of Electrical Engineering-Systems. She has held visiting positions at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin (Germany), INRIA in Rocquencourt (France), Ecole Centrale de Lille (France), Valenciennes University (France), Leicester University (UK), Kent University (UK), CINVESTAV (Mexico), Zhejiang University (China), St. Petersburg IPM (Russia), Melbourne University (Australia), Supelec (France), KTH (Sweden).
Her research interests include time-delay systems, networked control systems, distributed parameter systems, robust control, singular perturbations and nonlinear control. She has published two monographs and more than 200 articles in international scientific journals. She serves/served as Associate Editor in Automatica, SIAM Journal on Control and Optimization and IMA Journal of Mathematical Control and Information. In 2014 she was Nominated as a Highly Cited Researcher by Thomson ISI. Since 2018, she has been the incumbent for Chana and Heinrich Manderman Chair on System Control at Tel Aviv University. She is IEEE Fellow since 2019. In 2021 she was recipient of IFAC Delay Systems Life Time Achievement Award and of Kadar Award for outstanding research in Tel Aviv University. She is currently a member of the IFAC Council.
Discontinuous Control: Technologies, Challenges and Opportunities
Prof. Xinghuo Yu, IEEE Fellow
Royal Melbourne Institute of Technology (RMIT), Australia
Abstract
Discontinuous control is a very effective approach to deliver fast and efficient actions to achieve desirable control objectives. However, its analysis and synthesis encounter some of the most difficult mathematical problems. Major schools of thoughts, such as sliding mode control and switched control systems, have emerged over the last several decades. Yet, there are still many challenges across the spectrum of discontinuous control theory and applications.
In this talk, we will first introduce the basics of discontinuous control. We will then examine the major schools of thoughts in dealing with discontinuity and discontinuous control, and their analysis and synthesis methodologies. We explore inherent properties that distinguish them from the continuous control systems. We will also present key challenges that may hinder their developments and future opportunities especially in the emerging complex cyber-physical systems such as smart grids.
Biography
Distinguished Professor Xinghuo Yu is an Associate Deputy Vice-Chancellor and a Vice-Chancellor’s Professorial Fellow at Royal Melbourne Institute of Technology (RMIT University), Melbourne, Australia. He was the President of IEEE Industrial Electronics Society for 2018-2019. He received BEng and MEng degrees from the University of Science and Technology of China, Hefei, China, in 1982 and 1984, and PhD degree from Southeast University, Nanjing, China in 1988, respectively.
His main research areas include control systems, intelligent and complex systems, energy systems. He received many awards and honours for his contributions, including 2018 MA Sargent Medal from Engineers Australia, 2018 Australasian AI Distinguished Research Contribution Award from Australian Computer Society, and 2013 Dr.-Ing. Eugene Mittelmann Achievement Award from IEEE Industrial Electronics Society. He was named a Highly Cited Researcher (Engineering) by Clarivate Analytics from 2015 to 2021 consecutively. He is a Fellow of the IEEE, Engineers Australia, Australian Computer Society, and Australian Institute of Company Directors.
Robotics: From the Lab to the Shop Floor
Prof. Quang-Cuong Pham
Nanyang Technological University & Eureka Robotics, Singapore
Abstract
Robotics has largely contributed to increasing industrial productivity by automating many tedious or dangerous tasks, such as pick-and-place, welding, painting. The common point of these tasks is that they take place in highly structured environments, such as assembly lines. By contrast, tasks taking place in unstructured environments have so far resisted robotic automation. Yet, they constitute an overwhelming majority of manufacturing tasks, and it is only by automating them that one will unleash the full potential of robotics to benefit humanity.
Addressing unstructured environments requires harnessing a sweeping range of robotic capabilities: from robot vision (precisely locate the workpiece in the environment), to motion planning (find a safe and fast robot motion to reach the workpiece), to control (regulate the contact between different workpieces during assembly), to system integration. In this talk, I will present my activity over the past years, devoted to pushing the boundaries in each of those capabilities. I will also discuss its impact across multiple Technology Readiness Levels, from academic research to commercialization.
Biography
Quang-Cuong Pham was born in Hanoi, Vietnam. He is an alumnus of École Normale Supérieure, rue d’Ulm (France) and holds a Ph.D. in Neuroscience from Université Pierre et Marie Curie (France). He was a visiting researcher at the University of São Paulo (Brazil) in 2010, and a JSPS Fellow at the University of Tokyo (Japan) in 2011-2013. He joined NTU (Singapore) in 2013 and is currently an Associate Professor in the School of Mechanical and Aerospace Engineering. He was a recipient of the Best Paper Award at the conference Robotics: Science and Systems, 2012. His research has featured in major international media, including The New York Times, The Guardian, The Economist, CNN, Science, Nature, etc. He is a Co-founder and Director of Eureka Robotics (https://eurekarobotics.com/), a deep-tech startup devoted to solving the toughest automation challenges in manufacturing. Eureka Robotics was a recipient of the 2019 IEEE N3XT Star award.
Minimal and Redundant Bearing Rigidity
Dr. Minh Hoang Trinh
Hanoi University of Science and Technology (HUST), Vietnam
Abstract
Rigidity theory has been studied for centuries, dating back from the works of Euler and Cauchy. For a long time, this field of study was mainly used for statics and structural analysis. The development of sensing, computing, and communication technologies has raised many problems in control of multi-agent systems, in which rigidity theory plays a fundamental role.
Bearing rigidity, a branch of rigidity theory that studies properties of parallel embeddings in the space, has received a considerable amount of research interests due to its applications in formation control and network localization. The aim of this talk is to introduce bearing rigidity and the construction of minimal and redundant bearing rigid graphs. The theoretical development is mainly based on linear algebra and intuition from basic geometry. Some recent developments and research questions related to bearing rigidity theory will also be outlined during the talk.
Biography
Minh Hoang Trinh is a lecturer at the Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology (HUST), Hanoi, Vietnam. He received the B.S. degree (2013) in electrical engineering from HUST, the M.S. degree (2015) in mechatronics and the Ph.D. degree (2018) in mechanical engineering from Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea.
In 2016, he was at Technion - Israel Institute of Technology, for a six-month research visit. Prior to joining HUST in May 2019, he was as a postdoc researcher at GIST. His research interests include distributed control of multi-agent systems and graph rigidity theory.
Technology Megatrends and Model-based Design
Mr. Bao Nguyen
MathWorks, USA
Abstract
Four technology megatrends (electrification, connectivity, autonomous, artificial intelligent) are currently impacting the industries. These are the new kinds of technological disruptions that are fueling the demand for more innovative technological solutions from control systems, robotics, and their related fields. Regardless which megatrend you are working on, there is one universal trend that you are facing, and that trend is growing system complexity. This presentation highlights those four technology megatrends and provides how Model-Based Design will enable you to address those challenges.
Biography
Bao Nguyen, a MathWorks Principal Application Engineer, has over 25 years of experience in the design, development, and implementation of software for the aerospace and defense industry. Prior to coming to MathWorks, Bao worked at Northrop Grumman Mission Systems for 13 years. At MathWorks, Bao specializes in helping organizations apply Model-Based Design to develop and deploy embedded software for high-integrity applications that comply with DO-178C safety standards. Bao earned his B.S. and M.S. degree in Computer Science from California State University, Northridge.
Automatic Predictive Collision Prevention and AGV Tracking in Workshops based on Surveillance Cameras
Dr. Nguyen Van Thanh
Samsung Display, Vietnam
Abstract
Nowadays, AGVs have very important role in logistic at manufacturing environment. However, there are still existing collision errors related to AGV which affect to seriously results. Therefore, to looking forward to Smart Factory, the essential demand is solving this issues. In this paper, we proposed the concentrate system to supervise through by industrial cameras and control AGV to avoid the collision cases in manufacturing area. Our target objects are AGV, human, transfer car and the collision cases between AGV and another remain objects. The result shows that our system solved the existing problems and has big potential to extent in the future.
Biography
Dr. Nguyen Van Thanh is Senior Manager and expert at Samsung Display Vietnam (SDV), Bac Ninh, Vietnam. Nguyen Van Thanh has 16 years of ICT managing and teaching experiences in private sector, academy and government organizations.
In 2019, he got Doctor degree in IT Policy major, at Seoul National University, Korea. He studied Science and Technology Management in Vietnam National University, Vietnam and held MS, and completed Bachelor degree in Information and Communication Technology course at Hanoi University of Science and Technology, Vietnam.
His main research areas include e-Government, Internet Governance, Big Data, Innovation, AI, IoT, Project Management, Smart city. He received many awards and honours for his contributions. He won the most famous prize in ICT in Vietnam “Vietnam’s Talent in ICT” with project “Applying The web-based treatment planning and patient management system (LYNX) in Health care” in 2011. He was Project Manager of this project. He was Ambassador of Asean-Korean mobile application from 2017-2019 and Country agent of KAIST Global Commercialization Center from 2016-2018.