Slide ICCAD’23 7th International Conference
on Control, Automation
and Diagnosis
May 10-12, 2023, Rome, Italy

Keynote 1: A panorama of scientific methods to make healthcare production systems more efficient in terms of organization



This talk will present the stakes of flow management in the health domain, as well as the specificities of healthcare production systems compared to manufacturing systems.

We will see some examples of work, carried out in the G-SCOP laboratory, showing the contribution of engineering sciences, and more particularly of industrial engineering, for the study and the improvement of the organization of various healthcare production systems. This talk will thus show how modeling, performance evaluation, mathematical optimization, and risk analysis can contribute to making the management of healthcare production systems more efficient.


Maria Di Mascolo


French National Center for Scientific Research


Maria Di Mascolo, is Senior Researcher at the CNRS (French National Center for Scientific Research), and a member of the G-SCOP (Grenoble-Sciences for Design, Optimization and Production) laboratory. Her main scientific interests are related to the modelling, analysis and optimization of systems for the production of goods and services, and in particular healthcare production systems.

Her objective is to develop methods and tools to assist in making decisions that guarantee a good performance to production systems, despite uncertainties. The decisions to be made concern the design of production systems (including the control or maintenance policies to be implemented), as well as the planning of activities to be carried out, or the management of flows, with a special interest in the sustainability and human aspects.

She co-leads the GISEH (Hospital Systems Management and Engineering) technical committee of the SAGIP (French Society of Automatic Control, Industrial and Systems Engineering), and is editor-in-chief of the ISTE OpenScience journal “Industrial and Systems Engineering“. She is Deputy Head of Sustainable Industrial Engineering Master’s degree at Grenoble Institute of Technology.



ORCID : 0000-0002-8784-9685


Keynote 2: Digital Transformation: Changing the World to a Cyberspace



Digital transformation is a cultural, organizational and operational change of an organization, industry or ecosystem through a smart integration of digital technologies, processes and competencies across all levels and functions. The keynote speech covers the main streams of digital transformation in industry and business. Detailed parts will be devoted to Artificial Intelligence, Machine Learning, Deep learning, Big Data, Internet of Things, System of Systems, Cyber Physical Systems, and Blockchains.

The next part of the presentation summarizes our research and development results and ideas of a newly developed software engine, called MAXWHERE as a good example of how do we move to a digital world. MAXWHERE provides effective working environments with spatial (Virtual Reality) multimedia arrangement and Intelligent System of Systems connectivity.

The last part of the lecture will discuss the questions: How far do we go? What are the expectations and the question of Singularity?


Prof. Imre J. Rudas


Óbuda University, Hungary


Imre J. Rudas graduated in Budapest in 1971 in Mechanical Engineering, received the Master Degree in Mathematics from the Eötvös Loránd University, Budapest, the Ph.D. in Robotics from the Hungarian Academy of Sciences in 1987, while the Doctor of Science degree from the Hungarian Academy of Sciences in 2004.
He is Rudolf Kalman Distinguished Professor, Rector Emeritus and Professor Emeritus of Óbuda University.

Her objective is to develop methods and tools to assist in making decisions that guarantee a good performance to production systems, despite uncertainties. The decisions to be made concern the design of production systems (including the control or maintenance policies to be implemented), as well as the planning of activities to be carried out, or the management of flows, with a special interest in the sustainability and human aspects.

He received Doctor Honoris Causa degree from the Technical University of Košice, Slovakia, from “Polytechnica” University of Timisoara, Romania, from Óbuda University, and from Slovak University of Technology in Bratislava. He was awarded by the Honorary Professor title in 2013 and Ambassador Title by Wroclaw University of Science and Technology.

He is a Life Fellow of IEEE and the Junior Past President of IEEE Systems, Man, and Cybernetics Society. He is a Fellow of International Fuzzy systems Association.

His present areas of research activities are Computational Cybernetics, Cyber Physical Control, Robotics, Systems of Systems. He has edited and/or published 22 three books, published more than 850 papers in international scientific journal, conference proceedings and book chapters, and received more than 7000 citations.


Keynote 3: Implicit Euler discretization of set-valued sliding-mode controllers and differentiators



Set-valued sliding-mode control and differentiation, usually suffer from the well-known chattering phenomenon, which deteriorates their performance and can even sometimes prevent their use. It is known that one important source of chattering (at both the output and the input, which takes a bang-bang-like shape) is an inappropriate discretization, which yields the so-called digital, or numerical chattering.

The explicit Euler discretization, which is widely employed, is known to be the source of numerical chattering (see the works of Galias et al). Recently it has been shown that the implicit Euler discretization yields very efficient algorithms to suppress the numerical chattering, while keeping all the nice and powerful properties of the continuous-time counterparts: rigorous definition of a discrete sliding surface, finite-time convergence, robustness to matched (and some unmatched) disturbances, Lyapunov stability, insensitivity to the control gain during the sliding-motion. Several experimental results have validated the theoretical findings. In this talk we will introduce the implicit Euler method on several kinds of systems (linear, Lagrange mechanical, with matched or unmatched disturbances) and several kinds of SMC controllers (first-order, twisting, super-twisting, high-order) as well as differentiators. Most importantly it will be shown the deep link between the implicit discretization and maximal monotone operators, the Yosida approximations of Convex Analysis and the so-called proximal algorithms, which shows that the implicit discretization is not an implementation trick, but a discretization method.


Bernard Brogliato


Inria Grenoble-Rhône-Alpes Research Centre


Bernard Brogliato was born in Saint- Symphorien-de-Lay, France, in 1963. He received the Agrégation de mécanique from the Ecole Normale Supérieure de Cachan, Cachan, France, in 1986, and the Ph.D. and Habilitation à Diriger des Recherches degrees in automatic control from Grenoble INP, Grenoble, France, in 1991 and 1995, respectively. From 1991 to 2001, he was with Centre national de la recherche scientifique, Grenoble, France. Since 2001, he has been with Inria Grenoble Rhône-Alpes, Montbonnot-Saint-Martin, France. His main research interests include nonsmooth dynamical systems analysis, control and modeling, and dissipative dynamical systems..




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