Articles in Journals

[1]

M. Abdelghani, M. Goursat, T. Biolchini, On-line modal monitoring of aircraft structures under unknown excitation, Mechanical Systems and Signal Processing 13, 6 (Special section on Model-Based Structural Identification and Monitoring Using in-Operation Data), November 1999, pages 839-854.

[2]

A. Aghasaryan, E. Fabre, A. Benveniste, R. Boubour, C. Jard, Fault detection and diagnosis in distributed systems : an approach by partially stochastic Petri nets, Discrete Event Dynamic Systems 8, 2 (Special issue on Hybrid Systems), June 1998, pages 203-231.

[3]

M. Basseville, M. Abdelghani, A. Benveniste, Subspace-based fault detection algorithms for vibration monitoring, Automatica 36, 1, January 2000, pages 101-109.

[4]

M. Basseville, A. Benveniste, M. Goursat, L. Hermans, L. Mevel, H. van der Auweraer, Output-only subspace-based structural identification : from theory to industrial testing practice, Journal of Dynamic Systems, Measurement, and Control 123, 4 (Special issue on Identification of Mechanical Systems), December 2001, pages 668-676.

[5]

M. Basseville, L. Mevel, M. Goursat, Statistical model-based damage detection and localization : subspace-based residuals and damage-to-noise sensitivity ratios, Journal of Sound and Vibration, to appear.

[6]

M. Basseville, L. Mevel, A. Vecchio, B. Peeters, H. van der Auweraer, Output-only subspace-based damage detection - Application to a reticular structure, Structural Health Monitoring 2, 2, June 2003, pages 161-168.

[7]

M. Basseville, I. Nikiforov, Fault isolation for diagnosis : nuisance rejection and multiple hypotheses testing, Annual Reviews in Control 26, 2, December 2002, pages 189-202.

[8]

M. Basseville, Information criteria for residual generation and fault detection and isolation, Automatica 33, 5, May 1997, pages 783-803.

[9]

M. Basseville, On-board component fault detection and isolation using the statistical local approach, Automatica 34, 11, November 1998, pages 1391-1416.

[10]

M. Basseville, An invariance property of some subspace-based detection algorithms, IEEE Transactions on Signal Processing SP-47, 12, December 1999, pages 3398-3400.

[11]

M. Basseville, On fault detectability and isolability (with discussion), European Journal of Control 7, 6, December 2001, pages 625-641.

[12]

A. Benveniste, E. Fabre, S. Haar, C. Jard, Diagnosis of asynchronous discrete event systems, a net unfolding approach, IEEE Transactions on Automatic Control AC-48, 5, May 2003, pages 714-727.

[13]

A. Benveniste, E. Fabre, S. Haar, Markov nets : Probabilistic models for distributed and concurrent systems, IEEE Transactions on Automatic Control AC-48, 11, November 2003, pages 1936-1950.

[14]

A. Benveniste, Compositional and uniform modelling of hybrid systems, IEEE Transactions on Automatic Control AC-43, 4, April 1998, pages 579-584.

[15]

D. Brigo, B. Hanzon, F. Le Gland, A differential geometric approach to nonlinear filtering : the projection filter, IEEE Transactions on Automatic Control AC-43, 2, February 1998, pages 247-252.

[16]

D. Brigo, B. Hanzon, F. Le Gland, Approximate filtering by projection on the manifold of exponential densities, Bernoulli 5, 3, June 1999, pages 495-534.

[17]

F. Campillo, Y. A. Kutoyants, F. Le Gland, Small noise asymptotics of the GLR test for off-line change detection in misspecified diffusion processes, Stochastics and Stochastics Reports 70, 1-2, 2000, pages 109-129.

[18]

F. Campillo, A. Lejay, A Monte Carlo method to compute the exchange coefficient in the double porosity model, Monte Carlo Methods and Applications 7, 1-2, 2001, pages 65-72.

[19]

F. Campillo, A. Lejay, A Monte Carlo method without grid for a fractured porous domain model, Monte Carlo Methods and Applications 8, 2, 2002, pages 129-148.

[20]

F. Cérou, Long time behaviour for some dynamical noise-free nonlinear filtering problems, SIAM Journal on Control and Optimization 38, 4, 2000, pages 1086-1101.

[21]

B. Delyon, A. Juditsky, On the computation of wavelet coefficients, Journal of Approximation Theory 88, 1, January 1997, pages 47-79.

[22]

B. Delyon, A. Juditsky, On small perturbations of stable Markov operators : unbounded case, Theory of Probability and its Applications 43, 4, 1999, pages 577-587.

[23]

B. Delyon, M. Lavielle, E. Moulines, Convergence of a stochastic approximation version of the EM algorithm, The Annals of Statistics 27, 1, February 1999, pages 94-128.

[24]

B. Delyon, A note on uniform observability, IEEE Transactions on Automatic Control AC-46, 8, August 2001, pages 1326-1327.

[25]

J.-J. Fuchs, B. Delyon, Why the l₁ norm leads to sparseness and high resolution in time delay estimation, IEEE Transactions on Information Theory IT-46, 4, July 2000, pages 1666-1673.

[26]

J.-J. Fuchs, Extension of the Pisarenko method to sparse linear arrays, IEEE Transactions on Signal Processing SP-45, 10, October 1997, pages 2413-2421.

[27]

J.-J. Fuchs, Multipath time-delay detection and estimation, IEEE Transactions on Signal Processing SP-47, 1, January 1999, pages 237-243.

[28]

J.-J. Fuchs, On the application of the global matched filter to DOA estimation with uniform circular arrays, IEEE Transactions on Signal Processing SP-49, 4, April 2001, pages 702-709.

[29]

B. Gaujal, S. Haar, J. Mairesse, Blocking a transition in a free choice net, and what it tells about its throughput, Journal of Computer and System Sciences 66, 3, May 2003, pages 515-548.

[30]

A. Guyader, E. Fabre, C. Guillemot, M. Robert, Joint source-channel turbo decoding of entropy-coded sources, IEEE Journal on Selected Areas in Communications SAC-19, 9 (Special issue on the Turbo Principle : from Theory to Practice II), September 2001, pages 1680-1696.

[31]

S. Haar, Clusters, confusion and unfoldings, Fundamenta Informaticæ 47, 3-4, September / October 2001, pages 259-270.

[32]

S. Haar, Probabilistic cluster unfoldings, Fundamenta Informaticæ 53, 3-4, December 2002, pages 281-314.

[33]

M. Joannides, F. Le Gland, Small noise asymptotics of the Bayesian estimator in nonidentifiable models, Statistical Inference for Stochastic Processes 5, 1, 2002, pages 95-130.

[34]

A. Juditsky, B. Delyon, On minimax prediction of nonparametric autoregressive models, Probability Theory and Related Fields 116, 1, 2000, pages 21-39.

[35]

F. Le Gland, L. Mevel, Basic properties of the projective product, with application to products of column-allowable nonnegative matrices, Mathematics of Control, Signals and Systems 13, 1, 2000, pages 41-62.

[36]

F. Le Gland, L. Mevel, Exponential forgetting and geometric ergodicity in hidden Markov models, Mathematics of Control, Signals and Systems 13, 1, 2000, pages 63-93.

[37]

F. Le Gland, N. Oudjane, A robustification approach to stability and to uniform particle approximation of nonlinear filters : the example of pseudo-mixing signals, Stochastic Processes and their Applications 106, 2, August 2003, pages 279-316.

[38]

F. Le Gland, N. Oudjane, Stability and uniform approximation of nonlinear filters using the Hilbert metric, and application to particle filters, The Annals of Applied Probability 14, 1, February 2004, pages 144-187.

[39]

L. Mevel, M. Basseville, A. Benveniste, M. Goursat, Merging sensor data from multiple measurement setups for nonstationary subspace-based modal analysis, Journal of Sound and Vibration 249, 4, January 2002, pages 719-741.

[40]

L. Mevel, A. Benveniste, M. Basseville, M. Goursat, Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors, IEEE Transactions on Signal Processing SP-50, 1, January 2002, pages 41-48.

[41]

L. Mevel, M. Goursat, M. Basseville, Stochastic subspace-based structural identification and damage detection - Application to the steel-quake benchmark, Mechanical Systems and Signal Processing 17, 1 (Special issue on COST F3 Benchmarks), January 2003, pages 91-101.

[42]

L. Mevel, M. Goursat, M. Basseville, Stochastic subspace-based structural identification and damage detection and localization - Application to the Z24 bridge benchmark, Mechanical Systems and Signal Processing 17, 1 (Special issue on COST F3 Benchmarks), January 2003, pages 143-151.

[43]

L. Mevel, L. Hermans, H. van der Auweraer, On the application of subspace-based fault detection methods to industrial structures, Mechanical Systems and Signal Processing 13, 6 (Special section on Model-Based Structural Identification and Monitoring Using in-Operation Data), November 1999, pages 823-838.

[44]

A. Xu, Q. Zhang, Nonlinear system fault diagnosis based on adaptive estimation, Automatica, to appear.

[45]

A. Xu, Q. Zhang, Residual generation for fault diagnosis in linear time varying systems, IEEE Transactions on Automatic Control, 2004, to appear.

[46]

Q. Zhang, M. Basseville, A. Benveniste, Fault detection and isolation in nonlinear dynamical systems : a combined input-output and local approach, Automatica 34, 11, November 1998, pages 1359-1374.

[47]

Q. Zhang, Using wavelet network in nonparametric estimation, IEEE Transactions on Neural Networks NN-8, 2, March 1997, pages 227-236.

[48]

Q. Zhang, A new residual generation and evaluation method for detection and isolation of faults in nonlinear systems, International Journal of Adaptive Control and Signal Processing 14, 7 (Special issue on Fault Detection and Isolation), November 2000.

[49]

Q. Zhang, Adaptive observer for MIMO linear time varying systems, IEEE Transactions on Automatic Control AC-47, 3, March 2002, pages 525-529.

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