A methodology for improving tracking precision in servo systems: An equivalent-input-disturbance estimator approach

Abstract
There are disturbances, nonlinearities, and uncertainties in a mechatronic system. Many control methods have been devised to suppress their influence and to achieve satisfactory control performance. In this talk, I am going to explain a method called the equivalent-input-disturbance approach. It took the influence caused by those factors to be an equivalent disturbance on the control-input channel and developed an improved servo system to compensate for it. This ensures high control performance. I am going to explain the basic idea, the control-system configuration, some design methods, and some simulation and experimental results that demonstrate the validity of the method.

Bio
Professor Jinhua She received his B.S. degree in engineering from Central South University, Changsha, China, in 1983; and the M.S. and Ph.D. degrees in engineering from Tokyo Institute of Technology, Tokyo, Japan, in 1990 and 1993, respectively. In 1993, he joined the School of Engineering, Tokyo University of Technology, where he is currently a professor.
Dr. She's research interests include control theory and application, repetitive control, active disturbance rejection, mobile learning, and assistive robotics. He devised control methods such as position-domain repetitive control, two-dimensional repetitive control, and equivalent input disturbance approach. He has published more than 400 academic journal papers, 11 authorized invention patents, 4 monographs, 6 textbooks, 1 translation, and 15 chapters of monographs. He received the IFAC (International Federation of Automatic Control) Control Engineering Practice Paper Prize in 1999 (jointly with M. Wu and M. Nakano).
Dr. She is an IEEE Fellow, a member of IEEE IES AdCom (Management Committee), a member of IEEE Hyperintelligence Committee Advisory Board, and one of the founding chairs of the China-Japan International Workshop on Information Technology and Control Applications. He served as the Chair of IEEE IES Human Factors Technical Committee from 2018 to 2021, and IEEE IES Cluster 4 Representative from 2020 to 2021 (containing 6 TCs). He serves as a Technical Editor of IEEE/ASME Transactions on Mechatronics and an Associated Editor of IEEE Transactions on Industrial Electronics, IEEE Journal of Emerging and Selected Topics in Industrial Electronics, IEEJ Journal of Industry Applications, Journal of Advanced Computational Intelligence and Intelligent Informatics, and Intelligence and Robotics.

Digitalisation in Europe – Digital transformation through the EDIH network

Abstract
Digital technologies are transforming the world we live and work in. Digital transformation is one of the key priorities for the EU. The digital decade initiative sets out the EU targets that will guide digital transformation until 2030. The European Digital Hubs (EDIH) Network is the driving force behind Europe's digitalisation. With the support of the European Commission, it brings together EDIHs, SMEs, and public sector organisations (PSOs) to make the EU's Digital Decade 2030 targets a reality.

Bio
Helena Rodrigues has been working for the European Commission - DG CNECT since 2011. At the beginning she was working as a financial officer managing research and innovation projects. Currently she is a programme officer in the unit “Technologies & Systems for Digitising Industry”, being in the team responsible for the Digital Innovation Hubs in the Digital Europe Programme. Helena's main areas of expertise and experience include telecommunications, business and financial sector, digital economy.

Bio
Panagiotis Sarigiannidis is the Director of the ITHACA lab (https://ithaca.ece.uowm.gr/), co-founder of the 1 st spin-off of the University of Western Macedonia: MetaMind Innovations P.C. (https://metamind.gr), and Full Professor in the Department of Electrical and Computer Engineering in the University of Western Macedonia, Kozani, Greece. He received the B.Sc. and Ph.D. degrees in computer science from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2001 and 2007, respectively. He has published over 330 papers in international journals, conferences and book chapters, including IEEE Communications Surveys and Tutorials, IEEE Transactions on Communications, IEEE Internet of Things, IEEE Transactions on Broadcasting, IEEE Systems Journal, IEEE Wireless Communications Magazine, IEEE Open Journal of the Communications Society, IEEE/OSA Journal of Lightwave Technology, IEEE Transactions on Industrial Informatics, IEEE Access and Computer Networks. He received 6 best paper awards and the IEEE SMC TCHS Research and Innovation Award 2023. He has been involved in several national, European and international projects, while coordinating four H2020 / Horizon Europe projects. His research interests include telecommunication networks, internet of things and network security. He is an IEEE member and participates in the Editorial Boards of various journals.

Enhancing trust in AI across critical domains

Abstract
The rapid integration of Artificial Intelligence (AI) in critical domains presents challenges in ensuring trustworthiness and adherence to ethical standards. Although the existing AI based systems offer unprecedented capabilities and efficiencies, they also face multiple risks which can undermine public trust, including: (i) safety, (ii) explainability and interpretability, (iii) fairness and harmful bias, (iv) accountability and transparency, (v) security and resiliency, (vi) privacy, and (vii) validity and reliability. The latter highlights the need for the development of robust and easy to utilize trustworthy AI assessment frameworks to precisely assess the risks of AI systems and ensure that they operate within ethical boundaries across critical sectors, such as, media, transportation, and education, among others. This involves not only the implementation of stringent data security protocols but also the development of protocols to ensure that AI decisions are transparent and equitable. The integration of AI systems within complex human-centric environments requires additional emphasis on interoperability and adaptability so that they can function more effectively. To effectively mitigate these risks and to foster trust in AI systems, the EU funded project FAITH introduces an AI Trustworthiness Assessment Framework which is based on the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and the European Union Agency for Cybersecurity (ENISA). Through a series of large-scale pilots across critical sectors, the project aims to demonstrate the impact of its framework to ensure that AI systems meet the highest standards of trust and reliability.

Bio
Prof Dimitrios I. Fotiadis received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, in 1985, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis, in 1990. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Dept. of Biomedical Research. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 200 R&D funded projects. He is the author or coauthor of more than 250 papers in scientific journals, 450 papers in peer-reviewed conference proceedings, and more than 50 chapters in books. He is also the editor or coeditor of 35 books. His work has received more than 12.000 citations (h-index=57). He is IEEE EMBS Fellow, Technical Committee of information Technology in Healthcare, Editor in Chief of IEEE Journal of Biomedical and Health Informatics and Associate Editor for Computers in Biology and Medicine. His research interests include multiscale modeling of human tissues and organs, intelligent wearable/implantable devices for automated diagnosis, processing of big medical data, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens.

Bio
Saila Rinne currently works at the Directorate-General for Communications Networks, Content and Technology (DG CONNECT) of the European Commission. She is the Head of Sector for policy in the unit “eHealth, Well-Being and Ageing”. This unit's main mission is to support innovative digital health solutions and services that foster the delivery of high quality and efficient digital health and care services and products and enable the empowerment of citizens in managing their own health. Saila has previously worked on the research and innovation activities of the Data Policy and Innovation unit in DG CONNECT and as a translator and terminologist in DG Translation of the Commission.

Bio
Andrea Belz is Vice Dean of Transformative Initiatives at USC Viterbi, Research Director at the Information Sciences Institute, Director of the Center for Research in Space Technologies (CREST), and Professor of Practice in Industrial and Systems Engineering, where she specializes in engineering policy and technology strategy. She is on the leadership team of the California Defense Ready Electronics and Microdevices Superhubs (California DREAMS), funded by the Defense Department as a Microelectronics Commons Hub, where she serves as Director of Translational Strategy. She currently serves as President of the IEEE Technology and Engineering Management (TEMS) Society.