The objective of the MOCIS team is the development of methods and tools for integrated design of multiphysics energy systems. lt considers the different aspects of Controlled Dynamic Systems design in a simultaneous and consistent way, i.e. modeling, structural analysis, control and surveillance together with their computational implementation. For this purpose, two complementary approaches are chosen :
Belkacem Ould Bouamama
Estimation and Control of Dynamical Systems with Unknown Inputs toward Renewable Sources 02/12/2019
Curve Based Approach for Shape Reconstruction of Continuum Manipulators 24/09/2018
Distributed tracking control of nonholonomic multi-robot formation systems 13/12/2017
Contribution to Kinematic Modeling and Control of Soft Manipulators using Computational Mechanics. 24/10/2017
Sensibilité paramétrique pour l'analyse dynamique des réseaux à courant continu 16/12/2016
Supervision of Over-actuated Steering System of Mobile Omnidrive HeavyVehicle 15/12/2016
Graphical Modeling for Robust Prognostic of Proton Exchange Membrane Fuel Cell 24/11/2016
Generation of robust diagnostic algorithms based on hybrid bond graph models 18/05/2016
Modèle prédictif à base d'approches qualitatives pour la contribution à la radiothérapie adaptative 18/12/2015
Methodology for Unified Modeling of System of Systems of Engineering 17/12/2015
Commande d'un système multi-robot par l'approche groupe de Lie 16/12/2015
Pronostic de pannes sur les systèmes dynamiques incertains 08/12/2015
Graphical methods for planning and control of Autonomous Vehicles Group Formation 23/07/2015
Estimation des entrées inconnues pour le diagnostic et la commande. Approche Bond Graph" 27/01/2015