T. Alamo, R. Tempo, and E. F. Camacho, Randomized Strategies for Probabilistic Solutions of Uncertain Feasibility and Optimization Problems, IEEE Transactions on Automatic Control, vol.54, issue.11, pp.2545-2559, 2009.
DOI : 10.1109/TAC.2009.2031207

T. Alamo, R. Tempo, A. Luque, and D. R. Ramirez, Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms, Automatica, vol.52, pp.160-172, 2015.
DOI : 10.1016/j.automatica.2014.11.004

D. L. Alspach and H. W. Sorenson, Nonlinear Bayesian estimation using Gaussian sum approximations, IEEE Transactions on Automatic Control, vol.17, issue.4, pp.439-447, 1972.
DOI : 10.1109/TAC.1972.1100034

R. Aragues, G. Shi, D. V. Dimarogonas, C. Sagues, and K. H. Johansson, Distributed algebraic connectivity estimation for adaptive event-triggered consensus, 2012 American Control Conference (ACC), pp.32-37, 1926.
DOI : 10.1109/ACC.2012.6315110

B. Bader and T. Kolda, Efficient MATLAB Computations with Sparse and Factored Tensors, SIAM Journal on Scientific Computing, vol.30, issue.1, pp.205-231, 2007.
DOI : 10.1137/060676489

G. Basile and G. Marro, On the observability of linear, time-invariant systems with unknown inputs, Journal of Optimization Theory and Applications, vol.3, issue.6, pp.410-415, 1969.
DOI : 10.1007/BF00929356

R. C. Bose and D. M. Mesner, On Linear Associative Algebras Corresponding to Association Schemes of Partially Balanced Designs, The Annals of Mathematical Statistics, vol.30, issue.1, pp.21-38, 1959.
DOI : 10.1214/aoms/1177706356

T. Boukhobza, F. Hamelin, and S. Martinez-martinez, State and input observability for structured linear systems: A graph-theoretic approach, Automatica, vol.43, issue.7, pp.1204-1210, 2007.
DOI : 10.1016/j.automatica.2006.12.004

URL : https://hal.archives-ouvertes.fr/hal-00152192

S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Foundations and Trends?? in Machine Learning, vol.3, issue.1, pp.1-122, 2011.
DOI : 10.1561/2200000016

A. E. Brouwer, A. M. Cohen, and A. Neumaier, Distance-regular graphs, p.17, 1989.

C. Canudas-de-wit, F. Morbidi, L. L. Ojeda, A. Y. Kibangou, I. Bellicot et al., Grenoble Traffic Lab: An Experimental Platform for Advanced Traffic Monitoring and Forecasting [Applications of Control], IEEE Control Systems, vol.35, issue.3, pp.23-39, 2015.
DOI : 10.1109/MCS.2015.2406657

J. D. Caroll and J. J. Chang, Analysis of individual differences in multidimensional scaling via an n-way generalization of ???Eckart-Young??? decomposition, Psychometrika, vol.12, issue.3, pp.283-319, 1970.
DOI : 10.1007/BF02310791

J. Cheng, Q. Xie, P. Li, and R. Yuan, A spatiotemporal tensor-based multiobject matching algorithm, Proc. Int. Conf. on Information Networking and Automation (ICINA), pp.324-328, 2010.

D. Choukroun, I. Y. Bar-itzhack, and Y. Oshman, Novel quaternion Kalman filter, IEEE Transactions on Aerospace and Electronic Systems, vol.42, issue.1, pp.174-190, 2006.
DOI : 10.1109/TAES.2006.1603413

P. Comon, Tensors : A brief introduction, Proc. Magazine, 2014.
DOI : 10.1109/MSP.2014.2298533

URL : https://hal.archives-ouvertes.fr/hal-00923279

P. Comon, M. Sorensen, and E. Tsigaridas, Decomposing tensors with structured matrix factors reduces to rank-1 approximations, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 1953.
DOI : 10.1109/ICASSP.2010.5495816

URL : https://hal.archives-ouvertes.fr/hal-00490248

D. Cvetkovi?, I. Gutman, and N. Trinajsti?, Graph theory and molecular orbitals II, Croat. Chem. Acta, vol.44, pp.365-374, 1972.

C. F. Daganzo, The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory, Transportation Research Part B: Methodological, vol.28, issue.4, pp.269-287, 1994.
DOI : 10.1016/0191-2615(94)90002-7

A. L. De-almeida, A. Y. Kibangou, S. Miron, and D. C. Araujo, Joint data and connection topology recovery in collaborative wireless sensor networks, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.5303-5307, 1956.
DOI : 10.1109/ICASSP.2013.6638675

URL : https://hal.archives-ouvertes.fr/hal-00816687

X. Dong, P. Frossard, P. Vandergheynst, and N. Nefedov, Clustering With Multi-Layer Graphs: A Spectral Perspective, IEEE Transactions on Signal Processing, vol.60, issue.11, pp.5820-5831, 2012.
DOI : 10.1109/TSP.2012.2212886

L. Donoho, Compressed sensing, IEEE Transactions on Information Theory, vol.52, issue.4, pp.1289-1306, 2006.
DOI : 10.1109/TIT.2006.871582

URL : https://hal.archives-ouvertes.fr/inria-00369486

M. Daniel, T. G. Dunlavy, E. Kolda, and . Acar, Temporal link prediction using matrix and tensor factorizations, ACM Transactions on Knowledge Discovery from Data, vol.5, issue.2, pp.10-97, 2011.

N. Eagle, A. Clauset, A. Pentland, and D. Lazer, Multi-dimensional edge inference, Proc. of the National Academy of Sciences (PNAS), pp.31-43, 2010.

N. Eagle and A. Pentland, Reality mining: sensing complex social systems, Personal and Ubiquitous Computing, vol.10, issue.2, pp.255-268, 2006.
DOI : 10.1007/s00779-005-0046-3

T. Erseghe, A Distributed and Scalable Processing Method Based Upon ADMM, IEEE Signal Processing Letters, vol.19, issue.9, pp.563-566, 1929.
DOI : 10.1109/LSP.2012.2207719

M. Fazel, Matrix Rank Minimization with Applications, p.91, 2002.

M. Franceschelli, A. Gasparri, A. Giua, and C. Seatzu, Decentralized estimation of Laplacian eigenvalues in multi-agent systems, Automatica, vol.49, issue.4, pp.1031-1036, 1926.
DOI : 10.1016/j.automatica.2013.01.029

URL : https://hal.archives-ouvertes.fr/hal-01479646

L. Georgopoulos, Definitive consensus for distributed data inference, p.45, 2011.

A. Ghafoor and T. R. Bashkow, A study of odd graphs as fault-tolerant interconnection networks, IEEE Transactions on Computers, vol.40, issue.2, pp.225-232, 1991.
DOI : 10.1109/12.73594

G. B. Giannakis and E. Serpedin, A bibliography on nonlinear system identification, Signal Processing, vol.81, issue.3, pp.533-580, 2001.
DOI : 10.1016/S0165-1684(00)00231-0

A. Giremus, Apports des techniques de filtrage non-linéaire pour la navigation avec les systèmes de navigation inertiels et le GPS, Ecole Nationale Supérieure de l'Aéronautique et de l'Espace (SUPAERO), p.72, 2005.

C. Godsil and G. Royle, Algebraic graph theory, p.61, 2001.
DOI : 10.1007/978-1-4613-0163-9

Y. Han and F. Moutarde, Analysis of Large-Scale Traffic Dynamics in an Urban Transportation Network Using Non-Negative Tensor Factorization, International Journal of Intelligent Transportation Systems Research, vol.11, issue.1, pp.1-14, 2014.
DOI : 10.1007/s13177-014-0099-7

URL : https://hal.archives-ouvertes.fr/hal-01085971

R. A. Harshman, Foundation of the PARAFAC procedure : models and conditions for an "explanatory" multimodal factor analysis. UCLA working papers in phonetics, pp.1-84, 1970.

R. A. Harshman, Determination and proof of minimum uniqueness conditions for PARAFAC 1. UCLA working papers in phonetics, pp.111-117, 1972.

J. M. Hendrickx, R. M. Jungers, A. Olshevsky, and G. Vankeerberghen, Graph diameter, eigenvalues, and minimum-time consensus, Automatica, vol.50, issue.2, pp.635-640, 2014.
DOI : 10.1016/j.automatica.2013.11.034

URL : http://arxiv.org/abs/1211.6324

J. M. Hendrickx, G. Shi, and K. H. Johansson, Finite-Time Consensus Using Stochastic Matrices With Positive Diagonals, IEEE Transactions on Automatic Control, vol.60, issue.4, pp.1070-1073, 2015.
DOI : 10.1109/TAC.2014.2352691

F. L. Hitchcock, The Expression of a Tensor or a Polyadic as a Sum of Products, Journal of Mathematics and Physics, vol.6, issue.1-4, pp.164-189, 1927.
DOI : 10.1002/sapm192761164

A. J. Hoffman and M. H. Mcandrew, The polynomial of a directed graph, Proc. Amer, pp.303-309, 1965.
DOI : 10.1090/S0002-9939-1965-0191841-6

B. Hoh, T. Iwuchukwu, Q. Jacobson, M. Grueteser, A. Bayen et al., Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines, IEEE Transactions on Mobile Computing, vol.11, issue.5, pp.557-570, 1990.
DOI : 10.1109/TMC.2011.116

G. Hostetter and J. S. Meditch, Observing systems with unmmeasurable inputs, IEEE Transactions on Automatic Control, vol.18, issue.3, pp.307-308, 1973.
DOI : 10.1109/TAC.1973.1100296

M. Hou and R. J. Patton, Input Observability and Input Reconstruction, Automatica, vol.34, issue.6, pp.789-794, 1998.
DOI : 10.1016/S0005-1098(98)00021-1

Z. Huang, S. Mitra, and G. Dullerud, Differentially private iterative synchronous consensus, Proceedings of the 2012 ACM workshop on Privacy in the electronic society, WPES '12, pp.81-90, 2012.
DOI : 10.1145/2381966.2381978

M. Ji and M. Egerstedt, Observability and estimation in distributed sensor networks, 2007 46th IEEE Conference on Decision and Control, pp.4221-4226, 2007.
DOI : 10.1109/CDC.2007.4434659

U. Kang, E. Papalexakis, A. Harpale, and C. Faloutsos, GigaTensor, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '12, p.60
DOI : 10.1145/2339530.2339583

A. Y. Kibangou, Step-size sequence design for finite-time average consensus in secure wireless sensor networks, Systems & Control Letters, vol.67, pp.19-23, 1924.
DOI : 10.1016/j.sysconle.2014.01.010

URL : https://hal.archives-ouvertes.fr/hal-00967327

A. Y. Kibangou and C. Commault, Decentralized Laplacian Eigenvalues Estimation and Collaborative Network Topology Identification, 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (Nec- Sys'12), pp.7-12, 2012.
DOI : 10.3182/20120914-2-US-4030.00039

URL : https://hal.archives-ouvertes.fr/hal-00735058

A. Y. Kibangou, Finite-time average consensus based protocol for distributed estimation over AWGN channels, IEEE Conference on Decision and Control and European Control Conference, pp.261-265, 2011.
DOI : 10.1109/CDC.2011.6160868

A. Y. Kibangou, Graph Laplacian based matrix design for finite-time distributed average consensus, 2012 American Control Conference (ACC), pp.1901-1906, 1922.
DOI : 10.1109/ACC.2012.6315398

URL : https://hal.archives-ouvertes.fr/hal-00680344

A. Y. Kibangou and C. Commault, Algebraic characterization of observability in distance-regular consensus networks, 52nd IEEE Conference on Decision and Control, pp.1313-1318, 2013.
DOI : 10.1109/CDC.2013.6760064

URL : https://hal.archives-ouvertes.fr/hal-00913926

A. Y. Kibangou and A. L. De-almeida, Distributed parafac based DS-CDMA blind receiver for wireless sensor networks, 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), p.61, 2010.
DOI : 10.1109/SPAWC.2010.5671048

URL : https://hal.archives-ouvertes.fr/hal-00480584

A. Y. Kibangou and A. L. De-almeida, Distributed khatri-rao space-time coding and decoding for cooperative networks, Proc. of the European Signal Proc. Conference (EUSIPCO), p.56, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00598662

A. Y. Kibangou and G. Favier, Wiener-Hammerstein systems modeling using diagonal Volterra kernels coefficients, IEEE Signal Proc. Letters, pp.381-384, 2006.
DOI : 10.1109/LSP.2006.871705

URL : https://hal.archives-ouvertes.fr/hal-00417644

A. Y. Kibangou and G. Favier, Non-iterative solution for PARAFAC with a Toeplitz matrix factor, Proc. EUSIPCO, p.53, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00397808

A. Y. Kibangou and G. Favier, Tensor-based Identification of the Structure of Block-Oriented Nonlinear Systems, Proc. IFAC Symp. on System Identification (SYSID), 1951.
DOI : 10.3182/20090706-3-FR-2004.00108

URL : https://hal.archives-ouvertes.fr/hal-00397802

A. Y. Kibangou and G. Favier, Identification of fifth-order Volterra systems using i.i.d. inputs, IET Signal Processing, vol.4, issue.1, pp.30-44, 2010.
DOI : 10.1049/iet-spr.2008.0138

URL : https://hal.archives-ouvertes.fr/hal-00417522

A. Y. Kibangou and G. Favier, Tensor Analysis-Based Model Structure Determination and Parameter Estimation for Block-Oriented Nonlinear Systems, IEEE Journal of Selected Topics in Signal Processing, vol.4, issue.3, pp.514-525, 2010.
DOI : 10.1109/JSTSP.2009.2039175

D. Koenig and S. Mammar, Design of proportional-integral observer for unknown input descriptor systems, IEEE Transactions on Automatic Control, vol.47, issue.12, pp.2057-2062, 2002.
DOI : 10.1109/TAC.2002.805675

URL : https://hal.archives-ouvertes.fr/hal-00153817

J. , L. Ny, and G. Pappas, Differentially private filtering, IEEE Trans. on Automatic Control, vol.59, issue.39, pp.341-354, 2014.

A. P. Liavas, P. A. Regalia, and J. Delmas, Blind channel approximation: effective channel order determination, IEEE Transactions on Signal Processing, vol.47, issue.12, pp.3336-3344, 1999.
DOI : 10.1109/78.806077

M. J. Lighthill and G. B. Whitham, On Kinematic Waves. II. A Theory of Traffic Flow on Long Crowded Roads, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.229, issue.1178, pp.317-345, 1178.
DOI : 10.1098/rspa.1955.0089

X. Liu and N. D. Sidiropoulos, Cramér-rao lower bounds for low-rank decomposition of multidimensional arrays, IEEE Transactions on Signal Processing, vol.49, issue.9, pp.2074-2086, 2011.

H. C. Longuet-higgins, Some Studies in Molecular Orbital Theory I. Resonance Structures and Molecular Orbitals in Unsaturated Hydrocarbons, The Journal of Chemical Physics, vol.18, issue.3, pp.265-274, 1950.
DOI : 10.1063/1.1747618

E. Lovisari, C. Canudas-de-wit, and A. Y. Kibangou, Data fusion algorithms for density reconstruction in road transportation networks, 2015 54th IEEE Conference on Decision and Control (CDC), p.83, 2015.
DOI : 10.1109/CDC.2015.7402641

URL : https://hal.archives-ouvertes.fr/hal-01185523

M. Mardani, G. Mateos, and G. B. Giannakis, Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies, IEEE Transactions on Information Theory, vol.59, issue.8, pp.5186-5205, 2013.
DOI : 10.1109/TIT.2013.2257913

G. Mateos and G. B. Giannakis, Robust PCA as Bilinear Decomposition With Outlier-Sparsity Regularization, IEEE Transactions on Signal Processing, vol.60, issue.10, pp.5176-5190, 2012.
DOI : 10.1109/TSP.2012.2204986

R. Merris, Laplacian matrices of graphs: a survey, Linear Algebra and its Applications, vol.197, issue.198, pp.143-176, 1994.
DOI : 10.1016/0024-3795(94)90486-3

I. Morarescu and C. Canudas-de-wit, Highway traffic model-based density estimation, Proceedings of the 2011 American Control Conference, p.81, 2011.
DOI : 10.1109/ACC.2011.5991298

URL : https://hal.archives-ouvertes.fr/hal-00581801

F. Morbidi and A. Y. Kibangou, A distributed solution to the network reconstruction problem, Systems & Control Letters, vol.70, issue.37, pp.85-91, 2014.
DOI : 10.1016/j.sysconle.2014.05.008

URL : https://hal.archives-ouvertes.fr/hal-01001828

A. Nedic, A. Ozdaglar, and P. A. Parrilo, Constrained Consensus and Optimization in Multi-Agent Networks, IEEE Transactions on Automatic Control, vol.55, issue.4, pp.922-938, 2010.
DOI : 10.1109/TAC.2010.2041686

R. Nikoukhah, A. S. Willsky, and B. C. Levy, Kalman filtering and Riccati equations for descriptor systems, IEEE Transactions on Automatic Control, vol.37, issue.9, pp.1325-1342, 1992.
DOI : 10.1109/9.159570

URL : https://hal.archives-ouvertes.fr/inria-00075372

G. Notarstefano and G. Parlangeli, Observability and reachability of grid graphs via reduction and symmetries, IEEE Conference on Decision and Control and European Control Conference, pp.5923-5928, 2011.
DOI : 10.1109/CDC.2011.6161286

G. Notarstefano and G. Parlangeli, Reachability and observability of simple grid and torus graphs, Proc. IFAC World Congress, p.39, 2011.

N. O. Cleary, Y. Yuan, G. Stan, and M. Barahona, Observability and coarse graining of consensus dynamics through the external equitable partition, Physical Review E, vol.88, pp.42805-42806, 2013.

R. Olfati-saber, Distributed Kalman filtering for sensor networks, 2007 46th IEEE Conference on Decision and Control, pp.5492-5498, 2007.
DOI : 10.1109/CDC.2007.4434303

E. E. Papalexakis and N. D. Sidiropoulos, From k-means to higher-way coclustering : Multilinear decomposition with sparse latent factors, IEEE Trans. on Signal Processing, issue.2, pp.61493-506, 2013.

G. Parlangeli and G. Notarstefano, On the Reachability and Observability of Path and Cycle Graphs, IEEE Transactions on Automatic Control, vol.57, issue.3, pp.743-748, 2012.
DOI : 10.1109/TAC.2011.2168912

A. H. Phan and A. Cichocki, PARAFAC algorithms for large-scale problems, Neurocomputing, vol.74, issue.11, pp.1970-1984, 2011.
DOI : 10.1016/j.neucom.2010.06.030

T. Porges and G. Favier, Automatic target classification in SAR images using MPCA, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.324-328, 2011.
DOI : 10.1109/ICASSP.2011.5946631

A. Rahmani, M. Ji, M. Mesbahi, and M. Egerstedt, Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective, SIAM Journal on Control and Optimization, vol.48, issue.1, pp.162-186, 2009.
DOI : 10.1137/060674909

J. Ren, W. Wang, B. Li, and Y. Lai, Noise Bridges Dynamical Correlation and Topology in Coupled Oscillator Networks, Physical Review Letters, vol.104, issue.5, pp.58701-58702, 2010.
DOI : 10.1103/PhysRevLett.104.058701

T. Sahai, A. Speranzon, and A. Banaszuk, Hearing the clusters of a graph: A distributed algorithm, Automatica, vol.48, issue.1, pp.15-24, 1926.
DOI : 10.1016/j.automatica.2011.09.019

B. M. Sanandaji, M. B. Wakin, and T. L. Vincent, Observability With Random Observations, IEEE Transactions on Automatic Control, vol.59, issue.11, p.92, 2014.
DOI : 10.1109/TAC.2014.2351693

A. Sandryhaila, S. Kar, and J. Moura, Finite-time distributed consensus through graph filters, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1945.
DOI : 10.1109/ICASSP.2014.6853763

N. Sidiropoulos and A. Kyrillidis, Multi-Way Compressed Sensing for Sparse Low-Rank Tensors, IEEE Signal Processing Letters, vol.19, issue.11, pp.757-760, 2012.
DOI : 10.1109/LSP.2012.2210872

N. D. Sidiropoulos and R. Bro, On the uniqueness of multilinear decomposition of N-way arrays, Journal of Chemometrics, vol.14, issue.3, pp.229-239, 2000.
DOI : 10.1002/1099-128X(200005/06)14:3<229::AID-CEM587>3.3.CO;2-E

H. W. Sorenson and D. L. Alspach, Recursive bayesian estimation using gaussian sums, Automatica, vol.7, issue.4, pp.465-479, 1971.
DOI : 10.1016/0005-1098(71)90097-5

S. Stankovic, M. S. Stankovic, and D. M. Stipanovic, Consensus Based Overlapping Decentralized Estimator, IEEE Transactions on Automatic Control, vol.54, issue.2, pp.410-415, 2009.
DOI : 10.1109/TAC.2008.2009583

Y. Sun, V. P. Janeja, M. P. Mcguire, and A. Gangopadhyav, TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks, 2012 IEEE 28th International Conference on Data Engineering Workshops, p.95, 2012.
DOI : 10.1109/ICDEW.2012.72

S. Sundaram and C. Hadjicostis, Distributed function calculation and consensus using linear iterative strategies, IEEE Journal on Selected Areas in Communications, vol.26, issue.4, pp.650-660, 1928.
DOI : 10.1109/JSAC.2008.080507

L. Sweeney, k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.10, issue.05, pp.557-570, 2002.
DOI : 10.1142/S0218488502001648

H. Tan, G. Feng, J. Feng, W. Wang, Y. Zhang et al., A tensor-based method for missing traffic data completion, Transportation Research Part C: Emerging Technologies, vol.28, pp.15-27, 2013.
DOI : 10.1016/j.trc.2012.12.007

L. Tang, X. Wang, and H. Liu, Community detection via heterogeneous interaction analysis, Data Mining and Knowledge Discovery, vol.3, issue.2, pp.1-33, 2012.
DOI : 10.1007/s10618-011-0231-0

A. Teixeira, I. Shames, H. Sandberg, and K. H. Johansson, A secure control framework for resource-limited adversaries, Automatica, vol.51, pp.135-148, 2015.
DOI : 10.1016/j.automatica.2014.10.067

T. M. Tran and A. Y. Kibangou, Distributed design of finite-time average consensus protocols, 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'13), 1925.
URL : https://hal.archives-ouvertes.fr/hal-00863676

E. R. Van-dam and W. H. Haemers, Which graphs are determined by their spectrum ? Linear Algebra and its Applications, pp.241-272, 2003.

E. R. Van-dam and W. H. Haemers, Developments on spectral characterizations of graphs, Discrete Mathematics, vol.309, issue.3, pp.576-586, 2009.
DOI : 10.1016/j.disc.2008.08.019

J. C. Willems, A Framework for the Study of Dynamical Systems, Realization and modelling in system theory, pp.43-60, 1990.
DOI : 10.1007/978-1-4612-3462-3_4

P. Yang, R. A. Freeman, G. Gordon, K. Lynch, S. Srinivasa et al., Decentralized estimation and control of graph connectivity for mobile sensor networks, Automatica, vol.46, issue.2, pp.390-396, 2010.
DOI : 10.1016/j.automatica.2009.11.012

Y. Yuan, G. Stan, L. Shi, M. Barahona, and J. Goncalves, Decentralised minimum-time consensus, Automatica, vol.49, issue.5, pp.1227-1235, 2013.
DOI : 10.1016/j.automatica.2013.02.015

S. Zhang, K. Camlibel, and M. Cao, Controllability of diffusively-coupled multi-agent systems with general and distance regular coupling topologies, IEEE Conference on Decision and Control and European Control Conference
DOI : 10.1109/CDC.2011.6160658