DESCRIPTION :
The TRIPOP team is a joint research team of Centre Inria de l'Université Grenoble Alpes and of the Laboratoire Jean Kuntzmann (LJK). This new team is a follow up of the BIPOP team (2003-2017).
The team is mainly concerned with the modeling, the mathematical analysis, the simulation and the control of nonsmooth dynamical systems. Nonsmooth dynamics concerns the study of the time evolution of systems that are not smooth in the mathematical sense, i.e., systems that are characterized by a lack of differentiability, either of the mappings in their formulations, or of their solutions with respect to time.The team is one of the few in the world that has brought together researchers in applied maths, control theory, computational mechanics and scientific computing in the field of nonsmooth dynamics. In mechanics, the main instances of nonsmooth dynamical systems are multibody systems with Signorini unilateral contact, set-valued (Coulomb-like) friction and impacts. In Electronics, examples are found in switched electrical circuits withe ideal components (diodes, switches, transistors). In Control, nonsmooth systems arise in the sliding mode control theory and in optimal
control. A lot of examples can also be found in cyber-physical systems (hybrid systems), in transportation sciences, in mathematical biology or in finance.
Mission confiée
The selected candidate will be responsible for developing controllers for finite-dimensional dynamical systems, employing set-valued sliding-mode state observers and/or differentiators implemented in discrete time. Additionally, the candidate will perform the associated theoretical analyses of the resulting closed-loop.
The primary challenge involves investigating how discretization affects the closed-loop behavior, specifically concerning stability and robustness properties. This will include analyzing which components of the closed-loop system (observer and/or controller) are best suited for discretization methods such as backward Euler or semi-implicit methods.
Another objective is the development of a software package designed for the simulation and real-time computation of set-valued controllers and observers/differentiators using specific discretization techniques (e.g., backward Euler, semi-implicit methods). This task requires developing appropriate numerical solvers suitable for practitioners who may not have extensive knowledge of the underlying theoretical concepts.
Principales activités
The main activities of the selected candidate include:
* To study the state-of-the-art bibliography on the subject.
* To propose ideas for the analysis and design of the mathematical models under consideration.
* To make numerical simulations to illustrate the suitability of the developed methods.
* To develop a software library in Python for the numerical implementation of discrete-time sliding mode observers/controllers/differentiators.
* To write internal reports, scientific papers.
* To present the obtained results in scientific events, (conferences, seminars, workshops, etc).
Code d'emploi : Chargé de Recherches (h/f)
Domaine professionnel actuel : Scientifiques
Niveau de formation : Bac+8
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée indéterminée (CDI)
Compétences : C ++ (Langage de Programmation), Programmation Informatique, Convex Optimization, Systèmes Dynamiques, Python (Langage de Programmation), Cyber-physical Systems, Informatique Scientifique, Enterprise Application Platform, Bibliothèque de Logiciels, Anglais, Français, Rédaction Académique, Algorithmes, Mathématiques Appliquées, Contrôle Automatique, Biologie, Théories de Contrôle, Exploitation du Réseau Électricité, Électronique, Secteur Financier, Mathématiques, Analyse Mathématique, Modélisation Mathématique, Recherche Post-Doctorale, Simulations, Gestion des Transports, Control Methods, Expertise Technique
Courriel :
villatoro@inria.fr
Téléphone :
0139635511
Type d'annonceur : Employeur direct