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Systèmes commandés en réseaux
Team manager : Carlos CANUDAS-DE-WIT    Federica GARIN

NECS team’s research is focused on general problems on control of network systems, which involve the analysis and control of dynamical systems with a network structure or whose operation is supported by networks.


 Research program:

  • Distributed estimation in network systems
  • Networked systems and graph analysis
  • Collaborative and distributed network control
  • Transportation networks
  • Multi-sensors data fusion


- This research field deals with feedback systems controlled over networks, but also concerns systems that naturally exhibit a network structure (e.g., traffic, electrical networks, etc.). The first system category results from the arrival of new control problems posed by the consideration of several factors, such as: new technological components, increase of systems complexity, the distributed location of sensor and actuator, and computation constraints imposed by their embedded nature. One main challenge here is the co-design problems concerning control under communications and network constraints and control under resources constraints. The second category of systems is motivated by the natural complex network structure in which the original systems are built. New distributed and/or collaborative control and estimation algorithms need to be devised as a response to this complexity (distributed estimation, graph discovering, etc).


- The team has an interest on data fusion/estimation with an application in traffic management, inertial navigation, etc. This research topic concerns the data combination from multiple sources (sensors) and related information fusion, to achieve more specific inference than could be achieved by using a single source (sensor).


- The team is already strongly involved in transportation networks, both this theoretical works on traffic prediction and control, and with the Grenoble Traffic Lab platform (GTL). This is an experimental platform, collecting traffic infrastructure information in real time from Grenoble South Ring, together with innovative software e.g. for travel-time prediciton, and a show-case where to graphically illustrate results to the end-user.


- The team has a collaboration with Alstom on collaborative and reconfigurable resilient control design of hydroelectric powerplants; current work is on improving performance of a hydro-electric power-plant outside its design operation conditions, by adaptive cancellation of oscillations that occur in such operation range.



NeCS is a joint INRIA/Gipsa-Lab team, bi-located at the INRIA-Rhône-Alpes center in Montbonnot and at Gipsa-Lab in the Saint-Martin-d’Hères campus (Team's website).

Last publications of team

Structure-based Clustering Algorithm for Model Reduction of Large-scale Network Systems

Muhammad Umar B. Niazi, Xiaodong Cheng, Carlos Canudas de Wit, Jacquelien Scherpen. Structure-based Clustering Algorithm for Model Reduction of Large-scale Network Systems. CDC 2019 - 58th IEEE Conference on Decision and Control, IEEE, Dec 2019, Nice, France. ⟨hal-02278884v2⟩

Collaborative Network Monitoring by Means of Laplacian Spectrum Estimation and Average Consensus

Thi Minh Dung Tran, Alain Kibangou. Collaborative Network Monitoring by Means of Laplacian Spectrum Estimation and Average Consensus. International Journal of Control, Automation and Systems, Springer, 2019, 17 (7), pp.1826-1837. ⟨10.1007/s12555-018-0638-0⟩. ⟨hal-02166871⟩

An Average Study of the Signalized Link-Transmission-Model

Carlos Canudas de Wit. An Average Study of the Signalized Link-Transmission-Model. ECC 2019 - European Control Conference, Jun 2019, Naples, Italy. pp.3185-3191, ⟨10.23919/ECC.2019.8795830⟩. ⟨hal-02268168⟩

Voir toutes les publications de l'équipe dans HAL
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