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


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

Average observability of large-scale network systems

Muhammad Umar B. Niazi, Carlos Canudas de Wit, Alain Kibangou. Average observability of large-scale network systems. ECC 2019 - European Control Conference, Jun 2019, Naples, Italy. pp.1-6. ⟨hal-02073668⟩

Input and state estimation exploiting input sparsity

Sophie Fosson, Federica Garin, Sebin Gracy, Alain Kibangou, Dennis Swart. Input and state estimation exploiting input sparsity. ECC 2019 - European Control Conference, Jun 2019, Naples, Italy. pp.1-6. ⟨hal-02094213⟩

Strongly Structural Input and State Observability for Linear Time Invariant Network Systems

Sebin Gracy, Federica Garin, Alain Kibangou. Strongly Structural Input and State Observability for Linear Time Invariant Network Systems. ECC 2019 - European Control Conference, Jun 2019, Naples, Italy. pp.1-6. ⟨hal-02094223⟩

Input and State Observability of Network Systems with Time-Varying Topology

Sebin Gracy, Federica Garin, Alain Y. Kibangou. Input and State Observability of Network Systems with Time-Varying Topology. IEEE Transactions on Control of Network Systems, IEEE, 2019, 6 (2), pp.897-905. ⟨https://ieeexplore.ieee.org/abstract/document/8528853⟩. ⟨10.1109/TCNS.2018.2880304⟩. ⟨hal-01918497⟩

Data Fusion-Based Descriptor Approach for Attitude Estimation under accelerated maneuvers

Aida Makni, Alain Kibangou, Hassen Fourati. Data Fusion-Based Descriptor Approach for Attitude Estimation under accelerated maneuvers. Asian Journal of Control, Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) In press, pp.1-11. ⟨10.1002/asjc.2084⟩. ⟨hal-01982463⟩

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, 5 (4), pp.2062-2072. ⟨10.1109/TCNS.2017.2782489⟩. ⟨hal-01663175⟩

Unbiased Filtering for State and Unknown Input with Delay

Federica Garin, Sebin Gracy, Alain Y. Kibangou. Unbiased Filtering for State and Unknown Input with Delay. NecSys 2018 - 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems, IFAC, Aug 2018, Groningen, Netherlands. pp.1-6. ⟨hal-01850957⟩

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

Andres Ladino Lopez, 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⟩

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 (IFAC WC 2017), IFAC, Jul 2017, Toulouse, France. pp.7618-7623. ⟨hal-01507387⟩

ENCADREMENT DE THESES / PhD THESIS SUPERVISED
Prénom NOM Date d'entrée en thèse Sujet Ecole doctorale
NIAZI Muhammad Umar B01/11/2017EEATS

Grenoble Images Parole Signal Automatique laboratoire

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