Alain KIBANGOU
Maître de conférences UGA
Equipe Systémes et Commandes en réseaux
Département Automatique
ME CONTACTER / CONTACT ME
Mail : alain.kibangou@gipsa-lab.grenoble-inp.fr

ENSE3
Domaine Universitaire - BP46
38402 Saint Martin d'Hères

Bureau B258
Tél.33 (0)4 76 82 64 51
Fax : 33 (0)4 76 82 63 88
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Density and flow reconstruction in urban traffic networks using heterogeneous data sources

Andres Ladino, Carlos Canudas de Wit, Alain Kibangou, Hassen Fourati, Martin Rodriguez-Vega. Density and flow reconstruction in urban traffic networks using heterogeneous data sources. 16th European Control Conference (ECC 2018), Jun 2018, Limassol, Cyprus. pp.1-6. 〈hal-01731356〉

Structural and Strongly Structural Input and State Observability of Linear Network Systems

Sebin Gracy, Federica Garin, Alain Kibangou. Structural and Strongly Structural Input and State Observability of Linear Network Systems. IEEE transactions on control of network systems, IEEE, 2018, pp.1-11. 〈10.1109/TCNS.2017.2782489〉. 〈hal-01663175〉

Traffic data imputation via tensor completion based on soft thresholding of Tucker core

José Henrique De Morais Goulart, Alain Kibangou, Gérard Favier. Traffic data imputation via tensor completion based on soft thresholding of Tucker core. Transportation research. Part C, Emerging technologies, Elsevier, 2017, 85, pp.348 - 362. 〈10.1016/j.trc.2017.09.011〉. 〈hal-01623213〉

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. 20th IFAC World Congress, Jul 2017, Toulouse, France. pp.7618-7623, 2017. 〈hal-01507387〉

A real time forecasting tool for dynamic travel time from clustered time series

Andres Ladino, Alain Y. Kibangou, Carlos Canudas de Wit, Hassen Fourati. A real time forecasting tool for dynamic travel time from clustered time series. Transportation research. Part C, Emerging technologies, Elsevier, 2017, 80 (July), pp.216-238. 〈10.1016/j.trc.2017.05.002〉. 〈hal-01521723〉

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〉

Density/Flow reconstruction via heterogeneous sources and Optimal Sensor Placement in road networks

Enrico Lovisari, Carlos Canudas de Wit, Alain Kibangou. Density/Flow reconstruction via heterogeneous sources and Optimal Sensor Placement in road networks. Transportation research. Part C, Emerging technologies, Elsevier, 2016, 69, pp.451 - 476. 〈10.1016/j.trc.2016.06.019〉. 〈hal-01375928〉

Travel time forecasting from clustered time series via optimal fusion strategy

Andres Ladino, Alain Kibangou, Hassen Fourati, Carlos Canudas de Wit. Travel time forecasting from clustered time series via optimal fusion strategy. 15th European Control Conference (ECC 2016), Jun 2016, Aalborg, Denmark. 〈10.1109/ECC.2016.7810623〉. 〈hal-01296525〉

Contributions à l’analyse des systèmes en réseau.

Alain Y. Kibangou. Contributions à l’analyse des systèmes en réseau.. Automatique / Robotique. Université Grenoble Alpes, 2016. 〈tel-01368049〉

Energy-aware Adaptive Attitude Estimation Under External Acceleration for Pedestrian Navigation

Aida Makni, Hassen Fourati, Alain Y. Kibangou. Energy-aware Adaptive Attitude Estimation Under External Acceleration for Pedestrian Navigation. IEEE/ASME Transactions on Mechatronics, Institute of Electrical and Electronics Engineers, 2016, 〈10.1109/TMECH.2015.2509783〉. 〈hal-01241403〉

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