Slide ICCAD’24 8th International Conference
on Control, Automation
and Diagnosis
May 15-17, 2024, Paris-France

Keynote 1: Safe Coordination of Autonomous Vehicles

This talk will present some recent results regarding the safe coordination of autonomous vehicles.
In particular, the talk will show how by means of the LPV approach the modelling of autonomous vehicles (including both kinematic and dynamic equations) can be addressed both from a physical perspective and by using data-based learning techniques.

Then, using the LPV representation of the vehicle, efficient planning and control implementation based on MPC and LMIs will be presented. The inclusion of uncertainty in the modelling using sets (zonotopes) will also be illustrated.

Finally, the extension of the proposed approaches to deal with learning-based algorithms that allow to estimate the vehicle model (dynamic part) from data is presented. The algorithms will be illustrated using high-fidelity simulators and small scale/real size vehicles.

Prof. Vicenç Puig

Polytechnic University of Catalunya – Spain

Vicenç Puig received the telecommunications engineering degree in 1993 and the Ph.D. degree in Automatic Control, Vision, and Robotics in 1999, both from Universitat Politècnica de Catalunya (UPC). He is Full Professor of the Automatic Control Department and a Researcher at the Institut de Robòtica i Informàtica Industrial, both from the UPC. He is currently the Director of the Automatic Control Department and Head of the Research Group in Advanced Control Systems at UPC.

He has developed important scientific contributions in the areas of fault diagnosis and fault tolerant control using interval and linear-parameter-varying models using set-based approaches. He has participated/leaded more than 20 European and national research projects in the last decade. He has also led many private contracts with several companies and has published more than 120 journal articles and more than 450 in international conference/ workshop proceedings.

He has supervised over 20 Ph.D. dissertations and over 40 master’s theses/final projects. He is currently the chair of the IFAC Safeprocess TC Committee 6.4 (2020-until now) and was the vice chair (2014–2017). He has been the general chair of the Third IEEE Conference on Control and Fault-Tolerant Systems (Systol 2016 and 2021) and the IPC chair of the IFAC Safeprocess 2018.

Keynote 2: How Artificial Intelligence can enhance both safety & predictive maintenance ?

This talk will present the Health and Usage Monitoring Systems (HUMS) which have revolutionized the field of aircraft maintenance by introducing proactive analysis for predictive maintenance. This innovative approach leverages advanced data analytics and monitoring capabilities to anticipate and address potential issues before they escalate, thereby enhancing aircraft safety, availability, and operational efficiency.

The purpose of this talk is to discuss the significance of specific applications, essential parts, technological difficulties and solutions, advancements, and the horizon for the helicopters HUMS.

Alexandre DIAZ

Head of Airbus HUMS Technical Support – ESETD

Airbus Helicopters S.A.S.

Aéroport International Marseille-Provence 13725 Marignane Cedex-France

Alexandre DIAZ is a distinguished aviation professional with a solid educational foundation and an exemplary career in the aerospace industry. Holding a mechanical engineering degree from POLYTECH Tours, an aeronautical engineering degree from ENSMA in Poitiers, and an Aeronautical Master’s degree from ENSAM in Paris, he has built a comprehensive skill set and expertise in the field of engineering.

With more than 20 years of dedicated service to the aerospace sector, Alexandre DIAZ has played a pivotal role in advancing aviation technology, particularly in the realm of health and usage monitoring systems (HUMS) for helicopters.

Currently serving as the Head of Airbus Helicopters HUMS Technical Support and a Senior Expert within Airbus Group, Alexandre DIAZ leads a team of professionals responsible for ensuring the seamless operation and support of HUMS technologies across Airbus Helicopters’ diverse fleet.

In his role as a Senior Expert, Alexandre DIAZ leverages his extensive knowledge to contribute to the broader domain of aeronautical engineering. He actively collaborates with key stakeholders, research and development teams, and industry partners to drive advancements in aerospace technology.

Beyond his professional accomplishments, Alexandre DIAZ is known for his commitment to education and mentorship within the Airbus community. He exemplifies the values of Airbus Group, demonstrating leadership, integrity, and a passion for pushing the boundaries of what is possible in aerospace technology.

Alexandre DIAZ’s educational background, coupled with his hands-on experience, has positioned him as a sought-after authority in the aerospace industry. He frequently contributes to industry conferences, publications, and initiatives, leaving an indelible mark on the aviation landscape.

Abdelhafid BOUTALEB

HUMS Data Scientist and Data Science expert for Airbus Group

Airbus Helicopters S.A.S.

Aéroport International Marseille-Provence 13725 Marignane Cedex-France

Abdelhafid BOUTALEB is a distinguished professional in the aerospace industry, serving as a HUMS Data Scientist and Data Science Expert for Airbus Group. With a strong educational background and more than 14 years of experience, he has played a pivotal role in advancing the field of aircraft data analysis to enhance safety, availability, and reduce maintenance burdens.

Educated with an engineering degree, specializing in Database Engineering, Abdelhafid BOUTALEB has a solid foundation in mathematical and computer sciences from the Center of Mathematics and Computer Science (CMI) in Marseille.

In his current role at Airbus Group, Abdelhafid BOUTALEB is at the forefront of utilizing advanced data science techniques to analyze and derive valuable insights from aircraft data. He has been instrumental in developing and implementing data-driven strategies to optimize the safety and availability of Airbus aircraft, while simultaneously reducing maintenance burdens.

With a career spanning over 14 years, Abdelhafid BOUTALEB has accumulated a wealth of experience in the complex and critical field of aircraft data analysis. He has consistently demonstrated a deep understanding of the challenges and opportunities within the aerospace industry, contributing to the continuous improvement of Airbus Group’s operations.

Abdelhafid BOUTALEB’s activities extend beyond routine data analysis; he actively collaborates with cross-functional teams, leveraging his expertise to implement innovative solutions that drive efficiency and effectiveness in aircraft operations. He has been a key driver in adopting cutting-edge technologies and methodologies to stay at the forefront of the rapidly evolving field of data science in aviation.

In addition to his technical contributions, Abdelhafid BOUTALEB is recognized for his commitment to knowledge-sharing and mentorship within the Airbus community. He is often sought after for his insights and expertise in industry conferences and forums.

Keynote 3: Power Flow Control in Hybrid Energy Micro-grid

The tall aims to present efficient technological solutions for control of power flow and energy storage in a decentralized grid powered by intermittent renewable sources.

These management solutions play a strategic role for the stability of the decentralized which will become even more important in the coming years with the massive development of photovoltaic and wind generation.

Special emphasis is put on mixed solutions that combine in the same decentralized grid both different energy sources and different technological solutions for storage and management that can be localized or distributed.

This approach is very promising and requires the development of specific software and hardware embedded systems to ensure the optimal localized control of the switching of sources and loads, which is necessary to ensure energy efficiency and sobriety.

Emmanuel SIMEU

Head of Risk Management Department, Polytech Grenoble, France

Emmanuel Simeu is a full professor in automatic control and reliability analysis at Polytechnic School of Grenoble INP-UGA. He received Master and the Ph.D. degree in Automatic Control and System Theory from the INPG (Institut National Polytechnique de Grenoble) in 1988 and 1992 respectively. He received HDR in Physic Science from Joseph Fourier University of Grenoble in 2005.

Professor Emmanuel Simeu is the head of the risk management department of the Polytechnic School of Grenoble INP since 2016. From 2010 to 2021, he has been the leader of the researcher team RMS (Reliable Mixed-signal Systems) in TIMA laboratory of Grenoble. He headed the CIM (Computer Integrated Manufacturing) platform of Smart Grenoble Alpes for over 15 years. From 1989 to 1992 he was researcher in CNET France Telecom research centre. He has been involved in nonlinear systems modelling and control. His current research interest includes the modelling of heterogeneous systems, reliability of embedded systems, diagnosis and control of analogue and mixed signal systems including the modelling and control synthesis of power flow for energy efficiency and sobriety in hybrid microgrid.

Professor Emmanuel Simeu has served on the organization committees and the Technical Program Committees of several international conferences, including IEEE European Test Symposium (ETS), IEEE Latin America Test Symposium (LATS), IEEE On-Line Test Symposium (IOLTS), IEEE International Mixed-Signal, Sensors, and Systems Testing Workshop (IMS3TW, IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), IEEE International Conference on Microelectronics (ICM), IFAC/IEEE ICCAD, International Conference on Control, Automation and Diagnosis …

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