Federica GARIN
Chargé de Recherche INRIA
Equipe Systémes et Commandes en réseaux
Département Automatique
ME CONTACTER / CONTACT ME
Mail : federica.garin@gipsa-lab.grenoble-inp.fr

ENSE3
Domaine Universitaire - BP46
38402 Saint Martin d'Hères

Bureau B259
Tél.33 (0)4 76 57 43 64
Fax : 33 (0)4 76 82 63 88
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Structural Delay-1 Input-and-State Observability

Federica Garin. Structural Delay-1 Input-and-State Observability. 56th IEEE Conference on Decision and Control, CDC 2017, Dec 2017, Melbourne, Australia. 2017. 〈hal-01592199〉

Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs

Sebin Gracy, Federica Garin, Alain Y. Kibangou. Strong Structural Input and State Observability of LTV Network Systems with Multiple Unknown Inputs. IFAC World Congress, Jul 2017, Toulouse, France. pp.7618-7623, 2017. 〈hal-01507387〉

Best Response Algorithms for Random Network GamesAlgorithme de meilleure réponse appliqué au jeux aléatoires sur réseau

Stéphane Durand, Federica Garin, Bruno Gaujal. Best Response Algorithms for Random Network Games. [Research Report] RR-9066, Inria; Université Grenoble - Alpes; Gipsa-lab; Persival. 2017. 〈hal-01522919〉

Energy-Aware Radio Chip Management for Wireless Control

Nicolas Cardoso de Castro, Daniel Quevedo, Federica Garin, Carlos Canudas de Wit. Energy-Aware Radio Chip Management for Wireless Control. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2017, in press. 〈10.1109/TCST.2016.2634460〉. 〈hal-01505312〉

Input and State Observability of Network Systems with a Single Unknown Input

Alain Y. Kibangou, Federica Garin, Sebin Gracy. Input and State Observability of Network Systems with a Single Unknown Input. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'16), Sep 2016, Tokyo, Japan. Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 2016, Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). 〈hal-01368906〉

Reduced model for control in a hydroelectric unit at off-design operation

Simon Gerwig, Bilal Sari, Federica Garin, Carlos Canudas de Wit. Reduced model for control in a hydroelectric unit at off-design operation. 15th European Control Conference (ECC 2016), Jun 2016, Aalborg, Denmark. pp.2096-2101, 2016. 〈hal-01354358〉

Distributed Source Seeking without Global Position Information

Ruggero Fabbiano, Federica Garin, Carlos Canudas de Wit. Distributed Source Seeking without Global Position Information. IEEE Transactions on Control of Network Systems, IEEE, 2016, 〈10.1109/TCNS.2016.2594493〉. 〈hal-01354294〉

Towards scalable optimal traffic control

Pietro Grandinetti, Federica Garin, Carlos Canudas de Wit. Towards scalable optimal traffic control. 54th IEEE Conference on Decision and Control, CDC 2015, Dec 2015, Osaka, Japan. 〈hal-01188811〉

An efficient one-step-ahead optimal control for urban signalized traffic networks based on an averaged Cell-Transmission model

Pietro Grandinetti, Carlos Canudas de Wit, Federica Garin. An efficient one-step-ahead optimal control for urban signalized traffic networks based on an averaged Cell-Transmission model. 14th annual European Control Conference (ECC15), Jul 2015, Linz, Austria. 〈hal-01188535〉

Optimal one-dimensional coverage by unreliable sensors

Paolo Frasca, Federica Garin, Balázs Gerencsér, Julien M. Hendrickx. Optimal one-dimensional coverage by unreliable sensors. SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2015, 53 (5), pp.3120-3140. 〈10.1137/140968094〉. 〈hal-01234344〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED
Prénom NOM Date d'entrée en thèse Sujet Ecole doctorale
GRACY Sebin01/10/2015Cyber-physical Systêms: a control - theoretic approach to privacy and securityEEATS

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal