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Scale-FreeBack SIGNED

Scale-Free Control for Complex Physical Network Systems

Total Cost €


EC-Contrib. €






Project "Scale-FreeBack" data sheet

The following table provides information about the project.


Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website
 Total cost 2˙873˙601 €
 EC max contribution 2˙873˙601 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-AdG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2021-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Technology achievements were typically built upon fundamental theoretical findings, but nowadays technology seems to be evolving faster than our ability to develop new concepts and theories. Intelligent traffic systems benefit from many technical innovations, for example. Mobile phones, radars, cameras and magnetometers can be used to measure traffic evolution and provide large sets of valuable data. Vehicles can communicate with the network infrastructure, as well as each other. However, these huge technological advances have not been used to the full so far. Traffic lights are far from functioning optimally and traffic management systems do not always prevent the occurrence of congestions. So what is missing? Such systems affect our daily life; why aren’t them on pace with technology advances? Possible because they have become far more complex than the analytical tools available for managing them. Systems have many components, communicate with each other, have self-decision-making mechanisms, share an enormous amount of information, and form networks. Research in control systems has challenged some of these features, but not in a very concerted way. There is a lack of “glue” relating the solutions to each other. In the Scale-FreeBack project, it is proposed to approach this problem with a new holistic vision. Scale-FreeBack will first investigate appropriate scale-free dynamic modeling approaches breaking down system’s complexity, and then develop control and observation algorithms which are specifically tailored for such models. Scale-FreeBack will also investigate new resilient issues in control which are urgently required because of the increasing connectivity between systems and the external world. Road traffic networks will be used in proof-of-concept studies based on field tests performed at our Grenoble Traffic Lab (GTL) and in a large-scale microscopic simulator.


year authors and title journal last update
List of publications.
2019 Denis Nikitin, Carlos Canudas de Wit, Paolo Frasca
Boundary Control for Output Regulation in Scale-Free Positive Networks
published pages: , ISSN: , DOI:
58th IEEE Conference on Decision and Control Dec 2019 2019-11-08
2019 Liudmila Tumash, Carlos Canudas de Wit, Maria Laura Delle Monache
Robust tracking control design for fluid traffic dynamics
published pages: , ISSN: , DOI:
58th IEEE Conference on Decision and Control Dec 2019 2019-11-08
2019 Muhammad Umar B. Niazi, Xiaodong Cheng, Carlos Canudas de Wit, Jacquelien Scherpen
Structure-based Clustering Algorithm for Model Reduction of Large-scale Network Systems
published pages: , ISSN: , DOI:
58th IEEE Conference on Decision and Control Dec 2019 2019-11-08
2020 Muhammad Umar B. Niazi, Diego Deplano, Carlos Canudas-de-Wit, Alain Y. Kibangou
Scale-Free Estimation of the Average State in Large-Scale Systems
published pages: 211-216, ISSN: 2475-1456, DOI: 10.1109/LCSYS.2019.2923086
IEEE Control Systems Letters 4/1 2019-11-07
2017 G. Casadei, C. Canudas De-Wit
Network Games: Condensation of the Graph as a Hierarchical interpretation of the Game
published pages: 9655-9660, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.1926
IFAC-PapersOnLine 50/1 2019-06-13
2018 Giacomo Casadei, Daniele Astolfi
Multi-Pattern Output Consensus in Networks of Heterogeneous Nonlinear Agents with Uncertain Leader: a Nonlinear Regression Approach
published pages: 1-1, ISSN: 0018-9286, DOI: 10.1109/TAC.2017.2771316
IEEE Transactions on Automatic Control 2017-11-09 2019-06-13
2017 Martin , Nicolas; Frasca , Paolo; Canudas de Wit , Carlos
Network reduction towards a scale-free structure preserving physical properties
published pages: pp.1-3, ISSN: , DOI:
COMPLEX NETWORKS 2017 - 6th International Conference on Complex Networks and Their Applications Nov 2017 2019-06-13
2018 Pietro Grandinetti, Carlos Canudas-de-Wit, Federica Garin
Distributed Optimal Traffic Lights Design for Large-Scale Urban Networks
published pages: 1-14, ISSN: 1063-6536, DOI: 10.1109/TCST.2018.2807792
IEEE Transactions on Control Systems Technology No.99, 2018-03-07 2019-06-13
2018 Stephane Mollier, Maria Laura Delle Monache, Carlos Canudas-de-Wit
A Simple Example of a Two-Dimensional Model for Traffic: Discussion about Assumptions and Numerical Methods
published pages: 249-261, ISSN: 0361-1981, DOI: 10.1177/0361198118791626
Transportation Research Record: Journal of the Transportation Research Board 2672/20 2019-06-13
2017 A. Ladino, A.Y. Kibangou, C. Canudas de Wit, H. Fourati
A real time forecasting tool for dynamic travel time from clustered time series
published pages: 216-238, ISSN: 0968-090X, DOI: 10.1016/j.trc.2017.05.002
Transportation Research Part C: Emerging Technologies 80 2019-06-13
2018 G. Casadei, V. Bertrand, B. Gouin, C. Canudas-de-Wit
Aggregation and travel time calculation over large scale traffic networks: An empiric study on the Grenoble City
published pages: 713-730, ISSN: 0968-090X, DOI: 10.1016/j.trc.2018.07.033
Transportation Research Part C: Emerging Technologies 95 2019-05-27
2019 Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas de Wit
A step towards a multidirectional 2D model for large scale traffic networks
published pages: , ISSN: , DOI:
2019 Martin Rodriguez-Vega, Carlos Canudas-de-Wit, Hassen Fourati
Location of turning ratio and flow sensors for flow reconstruction in large traffic networks
published pages: 21-40, ISSN: 0191-2615, DOI: 10.1016/j.trb.2018.12.005
Transportation Research Part B: Methodological 121 2019-04-18
2018 N. Martin, P. Frasca, C. Canudas-De-Wit
MergeToCure: a New Strategy to Allocate Cure in an Epidemic over a Grid-like network Using a Scale-Free Abstraction
published pages: 34-39, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.12.007
IFAC-PapersOnLine 51/23 2019-04-18
2018 Nicolas Martin, Paolo Frasca, Carlos Canudas-De-Wit
Large-scale network reduction towards scale-free structure
published pages: 1-1, ISSN: 2327-4697, DOI: 10.1109/tnse.2018.2871348
IEEE Transactions on Network Science and Engineering 26 September 2018 2019-04-18
2019 Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas-de-Wit, Benjamin Seibold
Two-dimensional macroscopic model for large scale traffic networks
published pages: 309-326, ISSN: 0191-2615, DOI: 10.1016/j.trb.2019.02.016
Transportation Research Part B: Methodological 122 2019-04-18

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