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Activity reports:
2012     web — PDF
2011     web — PDF
2010     web — PDF
2009     web — PDF
2008     web — PDF
2007     web — PDF

Project leader: Carlos Canudas de Wit
e-mail: carlos.canudas-de-wit@gipsa-lab.inpg.fr
tel.: +33 (0)4 7661 5364 — Inria
tel.: +33 (0)4 7682 6380 — GIPSA-lab
tel.: +33 (0)6 85 73 70 16 — cell

Assistant: Elodie Toihein
e-mail: elodie.toihein@inrialpes.fr
tel.: +33 (0)4 7661 5459

 

Team presentation

NeCS is an Inria/GIPSA-lab joint team-project (initiated in January 2007) supported by the CNRS, Inria, INPG and UJF. The team goal is to develop a new control framework for assessing problems raised by the consideration of new low-cost and wireless technological components, the increase of systems complexity and the distributed and dynamic location of sensors (sensor networks) and actuators; in this framework, control design is performed under general resources constraints including communication, computation, and energy. In that, the team targets an innovative step forward in the feedback design for networked distributed systems by the development of combined control, computing and communication (3C).

The team is bi-located at Inria Rhône-Alpes (Montbonnot Saint Martin) and at the GIPSA-lab (at the Grenoble campus in Saint Martin d'Hères).

Research topics

• Communication and control co-design for networked systems
• Vehicular transportation systems
• Networked systems and graph analysis
• Distributed control
• Distributed average consensus algorithms
• Distributed estimation and data fusion
• Stability and control design of asynchronous interconnected systems

Application domains

• Feedback design for wireless sensor networks
• Vehicle control network systems, and intelligent traffic management
• Undersea mapping and monitoring via fleets of autonomous underwater vehicles (AUVs)
• Energy aware control for/of asynchronous chipsets
• Control and communication of AUVs
• Modelling and control of web servers (collaboration with the SARDES project)
• Automation and control with distributed sensors (camera networks, intelligent buildings, ...)
• Control of complex systems with distributed sensors and actuators: traffic, flows, very large telescopes (VLTs), ...