#### Filter Results:

- Full text PDF available (32)

#### Publication Year

1996

2016

- This year (0)
- Last 5 years (5)
- Last 10 years (20)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- François Le Gland, Laurent Mevel
- MCSS
- 2000

We consider a hidden Markov model with multidimen-sional observations, and with misspecification, i.e. the assumed coefficients (transition probability matrix, and observation conditional densities) are possibly different from the true coefficients. Under mild assumptions on the coefficients of both the true and the assumed models, we prove that : (i) the… (More)

- Laurent Mevel
- 1997

We consider a hidden Markov model (HMM) with mul-tidimensional observations, and where the coeecients (transition probability matrix, and observation conditional densities) depend on some unknown parameter. We study the asymptotic behaviour of two recursive es-timators, the recursive maximum likelihood estimator (RMLE), and the recursive conditional least… (More)

- Laurent Mevel, Lorenzo Finesso
- IEEE Trans. Automat. Contr.
- 2004

In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios and mode shapes), obtained from Stochastic Subspace Identification of structures, are subject to statistical uncertainty from ambient vibration measurements. It is hence neccessary to evaluate the confidence intervals of these obtained results. This paper will propose… (More)

- François Le Gland, Laurent Mevel
- MCSS
- 2000

We use basic properties of the projective product, to obtain exponential bounds for the Lipschitz constant associated with the projective product of column{allowable nonnegative matrices. We obtain similar bounds for the associated linear tangent maps.

We consider an hidden Markov model with multidimensional observations, and with misspecii-cation, i.e. the assumed coeecients (transition probability matrix, and observation conditional densities) are possibly diierent from the true coeecients. Under mild assumptions on the coeecients of both the true and the assumed models, we prove that : (i) the… (More)

- Albert Benveniste, Laurent Mevel
- IEEE Trans. Automat. Contr.
- 2007

— In this paper we study " nonstationary consistency " of subspace methods for eigenstructure identification, i.e., the ability of subspace algorithms to converge to the true eigenstruc-ture despite nonstationarities in the excitation and measurement noises. Note that such nonstationarities may result in having time-varying zeros for the underlying system,… (More)

Flutter monitoring can be handled by tracking the real time variations of the modal parameters of a specified civil structure, be it a bridge or an aircraft. Previous algorithmic attempts encompass automated batch identification and damage detection through hypothesis testing. Both approaches appear impractical, the first one because of computational time… (More)

In this paper a new recursive output-only identification algorithm is proposed based on stochastic realization, a classical covariance driven subspace identification technique. The recursive algorithm yields results that are in close agreement with those of its non-recursive counterpart. Furthermore, the relatively low complexity of the algorithm makes it… (More)

- Laurent Mevel, Albert Benveniste, Michèle Basseville, Maurice Goursat
- IEEE Trans. Signal Processing
- 2002

Subspace identiication algorithms have proven eecient for performing output-only identiication of the eigenstructure of a linear MIMO system subject to uncontrolled, unmeasured, and nonstationary excitation. Such a problem arises in mechanical engineering, for modal analysis of vibrating structures and machines. A common practice there is to collect data… (More)