Carlos CANUDAS-DE-WIT
Directeur de Recherche CNRS
Equipe Systémes et Commandes en réseaux
Département Automatique
ME CONTACTER / CONTACT ME
Mail : carlos.canudas-de-wit@gipsa-lab.grenoble-inp.fr


Domaine Universitaire - BP46
38402 Saint Martin d'Hères

Bureau B250
Tél.33 (0)4 76 82 63 80
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⟩

A decision support and planning mobility method for large scale traffic networks

Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas de Wit. A decision support and planning mobility method for large scale traffic networks. ECC 2019 - European Control Conference, Jun 2019, Naples, Italy. pp.1-6. ⟨hal-02157899⟩

Scale-free estimation of the average state in large-scale systems

Muhammad Umar B. Niazi, Diego Deplano, Carlos Canudas de Wit, Alain Kibangou. Scale-free estimation of the average state in large-scale systems. IEEE Control Systems Letters, IEEE, 2019, pp.1-6. ⟨10.1109/LCSYS.2019.2923086⟩. ⟨hal-02158678⟩

Distributed Optimal Traffic Lights Design for Large-Scale Urban Networks

Pietro Grandinetti, Carlos Canudas de Wit, Federica Garin. Distributed Optimal Traffic Lights Design for Large-Scale Urban Networks. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2019, 27 (3), pp.950-963. ⟨10.1109/TCST.2018.2807792⟩. ⟨hal-01727937⟩

Two-dimensional macroscopic model for large scale traffic networks

Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas de Wit, Benjamin Seibold. Two-dimensional macroscopic model for large scale traffic networks. Transportation Research Part B: Methodological, Elsevier, 2019, 122, pp.309-326. ⟨10.1016/j.trb.2019.02.016⟩. ⟨hal-01819013⟩

Location of turning ratio and flow sensors for flow reconstruction in large traffic networks

Martin Rodriguez-Vega, Carlos Canudas de Wit, Hassen Fourati. Location of turning ratio and flow sensors for flow reconstruction in large traffic networks. Transportation Research Part B: Methodological, Elsevier, 2019, 121, pp.21-40. ⟨10.1016/j.trb.2018.12.005⟩. ⟨hal-01958601⟩

A step towards a multidirectional 2D model for large scale traffic networks

Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas de Wit. A step towards a multidirectional 2D model for large scale traffic networks. TRB 2019 - 98th Annual Meeting Transportation Research Board, Jan 2019, Washington D.C., United States. pp.1-7. ⟨hal-01948466⟩

Joint Flow and Density Reconstruction in Large Traffic Networks UsingPartial Turning Ratio Information

Martin Rodriguez-Vega, Carlos Canudas de Wit, Hassen Fourati. Joint Flow and Density Reconstruction in Large Traffic Networks UsingPartial Turning Ratio Information. 57th IEEE Conference on Decision and Control (CDC 2018), Dec 2018, Miami, FL, United States. pp.1-6. ⟨hal-01928699⟩

Scale Free Controllability of Large-Scale Networks: an Output Controllability Approach

Giacomo Casadei, Carlos Canudas de Wit, Sandro Zampieri. Scale Free Controllability of Large-Scale Networks: an Output Controllability Approach. 57th IEEE Conference on Decision and Control (CDC 2018), Dec 2018, Miami, FL, United States. pp.1-8. ⟨hal-01953539⟩

Estimation of fundamental diagrams in large-scale traffic networks with scarce sensor measurements

Olga Lucía Quintero Montoya, Carlos Canudas de Wit. Estimation of fundamental diagrams in large-scale traffic networks with scarce sensor measurements. ITSC 2018 - 21st IEEE International Conference on Intelligent Transportation Systems, Nov 2018, Maui, United States. pp.1-21. ⟨hal-01874562⟩

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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