Results 71 to 80 of about 33,160 (233)

A subspace fitting method based on finite elements for fast identification of damages in vibrating mechanical systems [PDF]

open access: yes, 2012
International audienceIn this paper, a method based on subspace fitting is proposed for identification of faults in mechanical systems. The method uses the modal information from an observability matrix, provided by a stochastic subspace identification ...
Gautier, Guillaume   +2 more
core   +1 more source

Maximum Entropy Vector Kernels for MIMO system identification

open access: yes, 2016
Recent contributions have framed linear system identification as a nonparametric regularized inverse problem. Relying on $\ell_2$-type regularization which accounts for the stability and smoothness of the impulse response to be estimated, these ...
Chiuso, Alessandro   +2 more
core   +1 more source

Controlling Collective Quasiparticle Dynamics Beyond Decoherence in Topological Interfaces

open access: yesLaser &Photonics Reviews, EarlyView.
Gold nanoparticles placed above a deformed honeycomb plasmonic crystal couple to a chiral topological interface mode. The pseudospin‐split bands ψ+/ ψ− encode spin‐momentum locking, so emitters radiate directionally along the domain wall and share a common phase.
Fatemeh Davoodi
wiley   +1 more source

L^2-Theory for non-symmetric Ornstein-Uhlenbeck semigroups on domains [PDF]

open access: yes, 2012
We present some new results on analytic Ornstein-Uhlenbeck semigroups and use them to extend recent work of Da Prato and Lunardi for Ornstein-Uhlenbeck semigroups on open domains O to the non-symmetric case. Denoting the generator of the semigroup by L_O,
Jan, Joyce Assaad, Van Neerven
core   +1 more source

A structurally localized ensemble Kalman filtering approach

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih   +1 more
wiley   +1 more source

Stochastic thermodynamics of chemical reaction networks

open access: yes, 2006
For chemical reaction networks described by a master equation, we define energy and entropy on a stochastic trajectory and develop a consistent nonequilibrium thermodynamic description along a single stochastic trajectory of reaction events.
Andrieux D.   +8 more
core   +1 more source

Stable Nonlinear Identification From Noisy Repeated Experiments via Convex Optimization [PDF]

open access: yes, 2013
This paper introduces new techniques for using convex optimization to fit input-output data to a class of stable nonlinear dynamical models. We present an algorithm that guarantees consistent estimates of models in this class when a small set of repeated
Manchester, Ian R.   +2 more
core   +3 more sources

Data‐Driven Methods for Multiple and Dual Response Optimization on Operational Data Using Stochastic PRIM

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Upon establishing multiple response optimization (MRO) or dual response optimization (DRO), response surface methodology (RSM) acts as a conventional model‐driven framework for optimizing small‐sized experimental data to derive an input condition in which a decent response is expected.
Dong‐Hyun Koo   +2 more
wiley   +1 more source

Convex bodies of states and maps

open access: yes, 2013
We give a general solution to the question when the convex hulls of orbits of quantum states on a finite-dimensional Hilbert space under unitary actions of a compact group have a non-empty interior in the surrounding space of all density states. The same
Grabowski, Janusz   +3 more
core   +1 more source

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution

open access: yesSleep Research, EarlyView.
Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley   +1 more source

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