Non-Linear dynamic models
Bayesian dynamic linear models for structural health monitoring
... A key challenge remaining for enabling large-scale applications of SHM is to identify from time-series, the baseline response of structures without the effect of external actions such as temperature and traffic. To ...
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Modelling Environmental Effect Dependencies with Principal Component Analysis and Bayesian Dynamic Linear Models
... Bayesian Dynamic Linear ...Four models are built using all the temperature observations and 1 to 4 PCs, and four models are built using one temper- ature observation at the ...produces ...
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Empirical validation of bayesian dynamic linear models in the context of structural health monitoring
... Bayesian Dynamic Linear Models (BDLM) are traditionally employed in the fields of applied statis- tics and Machine ...and non-uniform time steps are ...Bayesian, Dynamic Lineal ...
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Bayesian Nonparametric Inference of Switching Dynamic Linear Models
... switching linear dynamical models with an unknown number of modes for describing complex dynamical ...dynamical models that allow for identification of variable order ...
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Prediction of non-linear time-variant dynamic crop model using bayesian methods
... handle non-linear and non- Gaussian processes (where no a priori information about the states and parameters is available), by assuming time-varying statistical ...good dynamic model, ensuring ...
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Dynamic linear economies with social interactions
... of linear models allows us to extend our analysis in several directions which are important in applications and empirical ...of dynamic dependence of agents’ actions at ...
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Dynamic Factor Models
... a linear DFM is estimated by principal components, in the second step, a Markov-switching model, as in Hamilton (1989), is specified for the estimated factor(s) and is estimated by maximum ...MIDAS models 5 ...
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Convex optimization in identification of stable non-linear state space models
... mathematical models is a common challenge in ...where models y = h(u) defined by “simple” functions h(·) are fitted to data records of u and y, is a major topic of research in statistics and machine ...of ...
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An approximate dynamic programming approach to solving dynamic oligopoly models
... Theorems 4.1, 4.2 and 4.3 together establish the quality of our approximation to a best response com- puted via a tractable linear program (4.10). In particular, we showed that by sampling a sufficiently large, ...
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Toward robust parameterized reduced-order models of non-linear structures using POD
... of linear structures have been intensively studied in the past and are now well-established ...these linear methods have been proposed in order to account for changes in the model ...to ...
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Computational and quasi-analytical models for non-linear vibrations of resonant MEMS and NEMS sensors
... The dynamic behavior of MEMS has been investigated by several authors so ...Existing models are of variable complexity, depending on assumptions concerning the mechanical and electrostatic non- ...
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Fast smoothing in switching approximations of non-linear and non-Gaussian models
... Organization of the paper is the following. We show in Section 2 that fast exact smoothing is feasible in the general CMSHLM model. We recall in Section 3 the SCGOMSM model, specifying why it is a particular CMSHLM. ...
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Dynamic inflation of non-linear elastic and viscoelastic rubberlike membranes
... Another diculty of such models implementation is that the kinematical variables (elementary local axes for example) change during the time step. As we cannot evaluate this change, we have to approximate it. ...
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Estimating the Number of Regimes of Non-linear Autoregressive Models.
... such models without knowing the form of the density of the ...for linear switching models (see Olt´eanu and Rynkiewicz ...autoregressive models with mean square error criterion and prove the ...
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Analysis of linear structures with non linear dampers
... ing non linear equations This method encounters several problems with Equation 11 which has to be ...is linear whereas the second one has the same shape as the constitutive ...
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Non destructive testing using non linear vibroacoustic
... We recall some papers related to the use of the frequency response for non destructive testing; in particular generation of higher harmonics, cross-modulation of a high frequency by a lo[r] ...
7
Limits on Non-Linear Electrodynamics
... Laboratoire National des Champs Magn´etiques Intenses (UPR 3228, CNRS-UPS-UJF-INSA), F-31400 Toulouse Cedex, France, EU (Dated: 12 mai 2016) In this paper we set a framework in which experiments whose goal is to test QED ...
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Stability analysis and gain synthesis for Lipschitz non linear systems under dynamic event triggered sampling
... of dynamic event trigger [9] has been proposed in order to further reduce communication (see also [19] and ...of dynamic event trigger is to create a new dynamic including the static event triggering ...
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Development and assessment of non-linear and non-stationary seasonal rainfall forecast models for the Sirba watershed, West Africa
... forecast models, with either changing parameters or constant parameters, were devel- oped and tested in this study, using three predictors (air temperature, sea level pressure and relative ...cast models ...
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Learning Linear Transformations using models
... of linear transformations such as making sense of what linearity means in the context of Linear Algebra and the relation of linear transformation with functions, matrices and with the concept of ...
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