Cristina STOICA
Cristina Stoica est Professeur à CentraleSupélec/L2S, Université Paris-Saclay. Elle a obtenu son diplôme d'ingénieur (2004) et son diplôme de Master (2005) en Automatique à l'Université Politehnica Bucarest, Roumanie, et son doctorat (2008) et HDR (2014) à l'Université Paris-Sud. Ses activités de recherche portent sur l’estimation d’état distribuée et la commande prédictive des systèmes multi-agents, la commande fondée sur l'apprentissage, la robotique mobile, la pédagogie pour l'Automatique ou encore le lien Art et Automatique. Elle est impliquée dans de nombreuses collaborations internationales et elle a visité plusieurs groupes de recherche à l’étranger. Depuis 2020, elle est responsable de l’équipe de recherche SYCOMORE du L2S. Elle a été Co-general Chair de la conférence IFAC SSSC TDS COSY 2025 organisée à CentraleSupélec et IPC chair du symposium IFAC ACE 2025. Elle participe activement à de nombreuses activités de médiation scientifique et a reçu plusieurs prix pour sa contribution à l'impact sociétal de l'Automatique. / CentraleSupélec
cristina.stoica@l2s.centralesupelec.fr
L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Echo State Network Controller Design for a Class of Leaky-Integrator Nonlinear Systems
Leaky-Integrator Echo State Network Incremental ISS Stability Analysis
Pearson Coefficient Degradation in a Wasserstein/Gelbrich Ambiguity Set
Cristina Stoica [People in Control]
Multi-vehicle localization by distributed MHE over a sensor network with sporadic measurements: further developments and experimental results
Minimal Gelbrich Distance to Uncorrelation
Distributed moving horizon state estimation for sensor networks with low computation capabilities
Guaranteed Set-Membership State Estimation of an Octorotor’s Position for Radar Applications
Decentralized MPC for UAVs Formation Deployment and Reconfiguration with Multiple Outgoing Agents
Minimum-time B-spline trajectories with corridor constraints. Application to cinematographic quadrotor flight plans
Recent advances in Safe Reinforcement Learning for UAV industrial application
Incremental Input-to-State Stability criterion for adaptive Echo State Network systems
Project-based learning in collaboration with industry to enhance Control Education for undergraduate students
Art and Control Engineering: developing animated cartoons for Control Education
Feedback on developing humoristic Control cartoons for undergraduate students
Hand-drawn animated cartoons for Control Education: insights from the oosCaR project
AutomatiCS: a handmade customizable Control game
Insights from the developement of humoristic Control cartoons for undergraduate students
Reconfiguration-based fault tolerant control algorithm for LPV descriptor systems
Fault Tolerant Control for descriptor systems using the concept of virtual actuator and virtual sensor
Distributed Moving Horizon Estimation with pre-estimation using Extended Kalman Filter for Nonlinear Measurements
Artistic consensus for mobile robots
Distributed localization over sensor camera network for vehicles in urban-like environment
Distributed Moving Horizon Localization for Multi-Vehicle System over a Sensor Network with Sporadic Measurements
Mini-Drone Modeling & Control Design
800 students using Matlab during a new course on Systems Modeling at CentraleSupélec
Estimation d’état à base d’un nouveau filtre de Kalman sous contraintes zonotopiques
Set-membership state estimation of an octorotor applied to radar imaging
Making aerial single-sequence shots with minimum jerk trajectories and predictive camera tracking
Optimization-based control for multi-agent deployment via dynamic Voronoi partition
Set-based safe predictive control for multi-agent dynamical systems
Fault tolerant predictive control based on set-membership state estimation for uncertain systems
Techniques d’estimation d’état ensembliste pour systèmes incertains
Fault tolerant predictive control based on set-membership state estimation for uncertain systems
Formation reconfiguration using model predictive control techniques for multi-Agent dynamical systems.
Predictive Control for Path-Following. From Trajectory Generation to the Parametrization of the Discrete Tracking Sequences
Stabilité du réseau de distribution électrique – Analyse du point de vue automatique d’un système complexe, Journée des doctorants de 2ème année L2S
On the stability study of local reactive power regulations with respect to the voltage
Set-membership state estimation for uncertain systems based on zonotopes and ellipsoids
Analyse du point de vue automatique de la stabilité d’un système complexe
Zonotopes: From Guaranteed State Estimation to Control
Mixed-Integer Programming Techniques in Distributed MPC Problems
Estimation d’état à l’aide d’ensembles zonotopiques pour des systèmes incertains
Predictive Control for Autonomous Aerial Vehicles Trajectory Tracking
On the Tight Formation for Multi-Agent Dynamical Systems
Control of Multi-Agent Dynamical Systems in the Presence of Constraints
Commande prédictive robuste par des techniques d’observateurs à base d’ensembles zonotopiques
Cooperative Dynamical Systems with Communication Constraints and Limits of Viability
Path Following with Collision Avoidance and Velocity Constraints for Multi-Agent Systems
Contributions à l’estimation robuste et à la commande prédictive robuste par méthodes ensemblistes
Robustification de lois de commande prédictives multivariables
CentraleSupélec,
3, rue Joliot Curie,
91190 Gif-sur-Yvette
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