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Accueil > Actualités

Séminaires scientifiques

par Laurent Krähenbühl - publié le , mis à jour le

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Liens vers les séminaires de 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010.


Prochains séminaires :

Ci-dessous la liste des derniers séminaires :

23/01/2020 - 14:00 : Prof. Ali Mohammadi (Univ. of the South Pacific, Fiji et Prof. invité INSA)


INSA de Lyon, salle de réunion du laboratoire (Ampère), 1er étage du Bâtiment St. Exupéry.
Visio possible (s’adresser à l’avance à Federico).

Piles à combustible
A Fuel Cell is an electrochemical device that produces electricity from the chemical reaction between hydrogen and oxygen. The by-products are heat and water – making Fuel Cells (FC) an obvious choice in modern sustainable transportation and stationary power applications.
The topic of the presentation :
1-Introduction of Fuel Cell
2-Fuel Cell Basic Chemistry
3-Fuel Cell Modeling
4-Control of Fuel cell
5- Fuel Cell Diagnostic
6-Fuel Cell Connected to Load and Grid

21/01/2020 - 12:30 : Kévin Colin (PhD Club, CEA)


ECL, Bâtiment H9, salle TIC

Informativité des données pour l’identification des systèmes MIMO avec la méthode Prediction Error
Pour obtenir un modèle non biaisé d’un système avec des données expérimentales (identification), il est important que l’excitation apportée au système soit suffisamment riche par rapport à la structure de modèle choisie. Il s’agît de la propriété d’informativité des données. Cette propriété a été largement étudiée pour les systèmes une entrée une sortie (SISO). Cependant dans le cas plusieurs entrées plusieurs sorties (MIMO), cette propriété a été peu étudiée et les seuls résultats disponibles dans la littérature sont souvent restrictifs. Dans cette présentation, nous proposons une condition nécessaire et suffisante pour garantir l’iinformativité des données pour des systèmes MIMO Finite Impulse Response (FIR).

17/01/2020 - 13:00 : Souad Rabah (ATER Ampère/MIS)

INSA, Bâtiment Saint-Exupéry, salle de réunion Ampère (1er étage)

De la modélisation et la simulation numérique au jumeau numérique
Deux axes de recherche sont détaillés dans cette présentation. Le premier concerne principalement des travaux de recherche dans le cadre d’étude de la phase de valorisation thermique des boues issues de différents étapes d’épuration d’eau. L’objectif de ces travaux est de proposer une méthodologie assurant une régulation optimale de l’unité d’incinération et de développer une interface de simulation d’une ligne d’incinération des boues. Dans les limites de la complexité de processus et l’absence des éléments de modélisation, une approche d’identification pour les systèmes MIMO a été adoptée dans le but de déterminer un modèle représentatif de fonctionnement qui décrit l’évolution thermique des sous blocs.
Le deuxième axe porte sur le concept de jumeau numérique qui représente l’un des principales technologies associées à la vague de l’industrie 4.0. Le jumeau numérique est une simulation intégrée multi-physique, multi-échelle et probabiliste d’un système complexe en se basant sur les meilleurs outils disponibles (modèles, capteurs, connexions etc.) pour refléter le cycle de vie de son jumeau réel. le concept du jumeau numérique est composé d’un système physique, de son homologue virtuel et de données connectées qui assurent la liaison et la convergence entre l’espace physique et l’espace virtuel du processus.

12/11/2019 - 12:30 : Jérémy Barra (PhD Club, CEA)


ECL, Bâtiment H9, salle TIC

Stability region estimation of linear controllers for the attitude control of VTOL vehicles : application to the P/PI control of a quadrotor
The feedback control of Vertical Take-Off and Landing (VTOL) vehicles and especially quadrotors, represents a challenge from a control point-of-view due to the complex dynamics of these vehicles. Two typical approaches to address this control problem are the nonlinear and linear control design techniques. The nonlinear design techniques account for these dynamics during the design process and ensure the stability of the quadrotor on a large operating domain but may lead to a complex control law design and implementation process. The linear control design techniques, which rely on a linearized quadrotor model at an equilibrium point, can simplify the controllers structure and design process. However, they do not theoretically guarantee the stability of the quadrotor far from the equilibrium point in general. We propose a method to prove that classical P/PI linear controllers stabilize the nonlinear quadrotor dynamics around the equilibrium point and to determine their domain of attraction by solving a convex optimization problem involving Linear Matrix Inequalities (LMI). This problem is generally difficult to solve as it relies on parameter-dependent LMI leading to a problem of infinite dimension. However, we reveal that the particular structure of the VTOL vehicles dynamical model such as the one from the quadrotor can be exploited to make this LMI problem finite dimensional hence numerically solvable.

24/10/2019 - 14h00 : Jonathan Cottet (EPFL, Labex Imust)


Amphi du bâtiment Lederer, 1 Rue Victor Grignard, Villeurbanne (Campus la Doua)

Développement de microsystèmes pour la formation contrôlée d’agrégats de cellules par diélectrophorèse.
Jonathan Cottet a passé son doctorat au Laboratoire Ampère, en collaboration avec l’EPFL, le 29/11/2018. Il est depuis post-doctorant à l’EPFL. au laboratoire de microsystèmes LMIS4.
Cet exposé est donné dans le cadre d’une demi-journée de "restititution publique" organisée par le Labex Imust.

11/10/2019 - 14h00 : Prof. Qing-Long Han (Fellow IEEE - SUT, Australie)


INSA, Saint-Exupéry, 1er étage, salle de réunion

Recent Advances in Fixed-Time Cooperative Control of Multi-Agent Systems
Fixed-time cooperative control of multi-agent systems has received considerable research interest since it can provide an estimated bound of settling time, which does not depend on initial conditions. Compared with asymptotic cooperative control algorithms, fixed-time cooperative control algorithms can provide better closed-loop performance and disturbance rejection properties. Different from finite-time control, fixed-time cooperative control can produce a faster convergence rate and provide an explicit estimate of settling time independent of initial conditions, which is desirable for multi-agent systems. In this talk, some fundamental concepts of fixed-time stability are introduced. Then, fixed-time cooperative control of multi-agent systems with various dynamics are elaborated in detail. An application of fixed-time consensus for distributed optimization is presented. Finally, a time base generator approach is introduced for practical fixed-time cooperative control.

Biography of Prof. Qing-Long Han

Qing-Long Han received Ph.D. degree in Control Engineering and Electrical Engineering from East China University of Science and Technology, Shanghai, China, in 1997. From September 1997 to December 1998, he was a Post-doctoral Researcher Fellow with the Laboratoire d’Auomatique et d’Informatique Industrielle (LAII) (currently, Laboratoire d’Informatique et d’Automatique pour les Systèmes, LIAS), École Nationale Supérieure d’Ingénieurs de Poitiers (ENSIP). From January 1999 to August 2001, he was a Research Assistant Professor with the Department of Mechanical and Industrial Engineering at Southern Illinois University at Edwardsville, USA. From September 2001 to December 2014, he was Laureate Professor, Associate Dean (Research and Innovation) with the Higher Education Division, and the Founding Director of the Centre for Intelligent and Networked Systems at Central Queensland University, Australia. From December 2014 to May 2016, he was Deputy Dean (Research), with the Griffith Sciences, and a Professor with the Griffith School of Engineering, Griffith University, Australia. In May 2016, he joined Swinburne University of Technology, Australia, where he is currently Pro Vice-Chancellor (Research Quality) and a Distinguished Professor. He is also the Director of Centre for Networked Control Systems with the School of Mechatronic Engineering and Automation, Shanghai University, China. In March 2010, he was appointed Chang Jiang (Yangtze River) Scholar Chair Professor by Ministry of Education, China.

Professor Han has been conducting research in the field of Control Theory and Control Engineering. He has published has been conducting research in the field of networked control systems, multi-agent systems, time-delay systems and neural networks. Since 2001, he has published two hundred and fifty-two (252) fully-refereed high quality journal articles, of which thirty-one (31) articles are published in Automatica, and nineteen (19) articles are published in IEEE Transactions on Automatic Control (the two best journals in the area of automatic control) and one hundred and twelve (112) articles are published in the most prestigious IEEE Transactions. He has also published one hundred and eighty (180) leading conference papers, four monographs, one research-based book chapter, and edited four conference proceedings and six special issues.
As of September 16, 2019, Professor Han’s research work has been cited 21796 times with h-index of 80, i10-index of 228 according to Google Scholar. He has ranked at No. 5 in the arena of Computer Science and Electronics in Australia according to Guide2Research. This ranking is based on the h-index metric provided by Google Scholar and DBLP. His research work has been cited 17593 times with h-index of 73 according to SCOPUS, and 14666 times with h-index of 68 according to Clarivate Analytics (formerly Thomson Reuters) Web of Science Core Collection. The Essential Science Indicator’s (ESI) Report on September 11, 2019, which covers the period from January 2009 to May/June 2019, indicates that he has 55 Highly Cited Papers. Among these Highly Cited Papers, 35 Highly Cited Papers are in the field of Engineering ; 19 Highly Cited Papers are in the field of Computer Science ; and 1 Highly Cited Paper is in the field of Mathematics.

Professor Han is one of The World’s Most Influential Scientific Minds : 2014-2016 and 2018. He is a Highly Cited Researcher according to Clarivate Analytics (formerly Thomson Reuters). He is a Fellow of The Institute of Electrical and Electronic Engineers (FIEEE) and a Fellow of The Institution of Engineers Australia (FIEAust). He is an Associate Editor of a number of international journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics, IEEE/CAA Journal of Automatica Sinica, and Information Sciences. His research interests include networked control systems, time-delay systems, multi-agent systems, neural networks and complex dynamical systems.

26/09/2019 - 14h00 : Dr. Nam NGUYEN (IFP)

INSA, Saint-Exupéry, 1er étage, salle 303-01-04 (ex-M1B)

Optimal Control of Wave Energy Converters : From Adaptive PI Control to Model Predictive Control
Advanced control strategies play a crucial role in increasing the energy extraction capacity of Wave Energy Converters (WECs). So far, the most promising control schemes have predominantly been studied in simulation, based on the idealized assumption of the conversion efficiency of the Power-Take-Off (PTO) system. In practical WEC implementations, this is not the case, since the power that is withdrawn from the grid and used to accelerate the float is always more expensive than the power that is produced by the float motion and delivered to the grid via the PTO system.
In this presentation, two approaches that can take into account the PTO efficiency are presented. The first one is based on an adaptive PI control strategy with an online estimation of the dominant wave frequency, while model predictive control is employed for the second one. The proposed control methods are validated and compared through experiment for irregular sea states. Some classical results from the literature are also recalled and compared.