Hubert Curien-Brancusi Program, CNCS-UEFISCDI 781/2014 and Campus France 32610 SE (2014-2016) - Participant
[In French] Ce projet a pour but de développer un cadre pour le contrôle des systèmes en réseau non linéaires généraux, qui traite d'une manière intégrée l'optimalité, la stabilité, et les exigences de calcul. Ceci est en contraste avec l'état de l'art, qui ne considère souvent la stabilité, et est généralement limitée à des classes spécifiques de systèmes. Notre principale innovation est de revoir les algorithmes d'optimisation et de planification provenant de l'intelligence artificielle pour les adapter au contrôle des systèmes en réseau. Nous exploitons la généralité de ces algorithmes et adaptons leurs garanties sur le calcul et l'optimalité dans le cadre du contrôle en réseau. Nous développons des garanties de stabilité sur la base de la théorie du contrôle, complétant ainsi l'analyse souhaitée.
ANR COMPACS (2013-2017) - Participant
The COMPACS project, co-funded by ANR and FRAE, aims at pursuing fundamental research towards the development of sound model-based approaches for the synthesis of controllers that are aware of the computational resources. Computation aware control strategies should not only be able to decide which control actions need to be taken, but also when the control tasks should be scheduled based on the availability of computing units and the state of the physical plant. These strategies are of particular interest when the dynamics of the physical plant have multiple time-scales and the computational resource should be allocated more often to control the faster dynamics than the slower ones. COMPACS will tackle this problem in the modeling framework of hybrid systems, which provides an appropriate description of the heterogeneous nature of computation aware control.
Website: https://sites.google.com/site/compacsproject/
ANR JCJC SEPICOT (2012-2016) - Coordinator
The purpose of the ANR JCJC SEPICOT project is to develop and analyze patient-specific dynamical models of the epileptic network which reproduce realistic intracranial EEG activities for patients suffering from the most frequent intractable epilepsies: lobe temporal epilepsies. The model will be used to validate neurophysiological assumptions on the seizure-causing factors and might cast new lights on the localization problem of the (potential) seizure on-set zones. The novelty of our approach relies on the use of control theory. We want to apply and develop novel methods from emerging control fields such as hybrid estimation, networked systems synchronization, as well as innovative source localization and reconstruction techniques that will attract the attention of the control and signal processing communities respectively. This interdisciplinary project is carried out in the ESPaCE team of the Centre de Recherche en Automatique de Nancy, UMR CNRS 7039, Université de Lorraine (Nancy - France) from October 2012 to September 2016. It involves control and signal processing researchers as well as neuroscientists and neurologists.
Website: https://sites.google.com/site/anrsepicot/
PEPS CNRS APSE (2011-2012) - Coordinator
The project objective is to study seizure prediction via a novel point of view: using control theory. We focus on median temporal lobe epilepsies for which the onset zone is located in the hippocampus. We want to develop estimation structures based on nonlinear control tools and signal processing techniques in order to provide new neurophysiological data to neurologists which were unavailable so far. We rely on a macroscopic model of the hippocampus and on the SEEG recordings provided by Nancy Hospital.