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UID:542@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20240912T140000
DTEND;TZID=Europe/Paris:20240912T150000
DTSTAMP:20240829T114540Z
URL:https://www.cran.univ-lorraine.fr/events/seminaire-de-morgan-louedec/
SUMMARY:Séminaire de Morgan Louédec
DESCRIPTION:Titre : Guaranteed ellipsoidal numerical method for the stabil
 ity analysis of the formation control of a group of underwater robots.\n\n
 Résumé : Various theoretical controllers have been proposed to make unde
 rwater robots move in a formation to make the group's behaviour more relia
 ble. As for every autonomous system\, stability analysis is one step of a 
 controller's validation. Yet\, as the complexity of these nonlinear system
 s increases\, it becomes difficult to study the stability of a group of ro
 bots with the conventional Lyapunov method. In parallel\, the mathematical
  topic of Interval analysis has been shown to provide efficient numerical 
 approaches for solving various tasks in control theory. Therefore\, there 
 is an interest in developing computer-assisted proofs for studying systems
  that are too complex to study manually. This seminar presents a new guara
 nteed numerical method that can assist in the proof of stability for the f
 ormation control of a group of underwater robots. This method uses ellipso
 ids and is designed for high-dimensional nonlinear hybrid systems.\n\nBiog
 raphie : Morgan Louedec received a general engineering degree at the Ecole
  Centrale Nantes and a master of science in Electrical Engineering at the 
 Technical University of Denmark in 2021. Since 2021\, he is preparing for 
 his Ph.D. at the LAB-STICC within the ENSTA Bretagne on the topic of the s
 tability of groups of robots. His research interests are in the stability 
 analysis of dynamical systems and guaranteed numerical tools.\n\nLien Team
 s: https://teams.microsoft.com/l/meetup-join/19%3ameeting_MzRjYmM3ZmQtMmNh
 MS00YmYwLWI4OGItNGIxMDU2NTUwOGYx%40thread.v2/0?context=%7b%22Tid%22%3a%221
 58716cf-46b9-48ca-8c49-c7bb67e575f3%22%2c%22Oid%22%3a%22955ae724-3c70-4f81
 -8a92-327e1dc5af57%22%7d
CATEGORIES:Département CID,Séminaire projet MODELE
LOCATION:CRAN - ENSEM\, 2\, Avenue de la Foret de Haye\, Voandoeuvre-les-Na
 ncy\, 54516\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2\, Avenue de la Foret de H
 aye\, Voandoeuvre-les-Nancy\, 54516\, France;X-APPLE-RADIUS=100;X-TITLE=CR
 AN - ENSEM:geo:0,0
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