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error model

An Error Model of a Complementary Filter for use in Bayesian Estimation - The CF-EKF Filter

An Error Model of a Complementary Filter for use in Bayesian Estimation - The CF-EKF Filter

... an error model of this complementary filter based on psi-angle representation (section ...statistical error analysis and extended Kalman or information filter integration (section ...

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Generic error model of human-robot interaction

Generic error model of human-robot interaction

... and model human robot interactions with ...interaction error models defined on the UML ...each error model in term of erroneous collaborations between actors and the robotic ...tion, ...

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Semi-supervised Document Classification with a Mislabeling Error Model

Semi-supervised Document Classification with a Mislabeling Error Model

... labeling error using a mislabeling error ...mislabeling error model are estimated within a semi- supervised PLSA (ssPLSA) model by maximizing the data log-likelihood, taking into ...

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Robust adaptive beamforming using a Bayesian steering vector error model

Robust adaptive beamforming using a Bayesian steering vector error model

...  The CS-based beamformer and its Bingham counter- part result in approximately the same output SINR.  For large steering vector errors, diagonal loading with v performs very poorly and the performance is mainly ...

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A Generic Error Model and its Application to Automatic 3D Modeling of Scenes using a Catadioptric Camera

A Generic Error Model and its Application to Automatic 3D Modeling of Scenes using a Catadioptric Camera

... This paper is a new step towards the automatic 3D modeling of scenes using a generic method, which can be applied for any kind of camera. First, we introduce a generic covariance for central cameras. Proof is given for ...

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Analysis and error model for a two-degrees-of-freedom elastically supported tuned gyro.

Analysis and error model for a two-degrees-of-freedom elastically supported tuned gyro.

... For this instrument, the ideal mode of operation is to have the rotor spin axis remain fixed in inertial space when the shaft is rotated through some small angle [r] ...

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Prospective issues for error detection

Prospective issues for error detection

... of error, i.e. with the various mechanisms involved in error production; these works have given rise to several taxonomies for error ...generic error model system and established from ...

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Pose Error Effects on Range Sensing

Pose Error Effects on Range Sensing

... simple error model based on Gaussian statistics, as previously ...Pose error is also dicult to character- ize and quantify in ...pose error eect has been studied in isolation. Multiple types ...

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A Residual a Posteriori Error Estimators for a Model for Flow in Porous Media with Fractures

A Residual a Posteriori Error Estimators for a Model for Flow in Porous Media with Fractures

... The error indicators and the statement of the main results are given in Section ...the error as a function of the indicators are carried out in Section 5 and Section 6 ...

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Inference for the Generalization Error

Inference for the Generalization Error

... 1998) and is speci cally designed to overestimate the variance to yield conservative inference. The other may overestimate or underestimate the real variance, but is typically not too far o the target. We performed a ...

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Error structures and parameter estimation

Error structures and parameter estimation

... of error structures Let us consider a random quantity C (for example the concentration of some pollutant in a river) that can be measured by an experimental device which result exhibits an error denoted by ...

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Optimizing CO2 observing networks in the presence of model error: results from TransCom 3

Optimizing CO<sub>2</sub> observing networks in the presence of model error: results from TransCom 3

... Gurney et al. (2002) found that, for most regions, within-model uncertainty dominated 10 between-model uncertainty. They drew the reasonable inference from this, that addi- tional data would aid the ...

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Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model

Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model

... models in simplified form by setting model coefficients to unity). In stereovision and photogrammetry, finding elevation of a terrain object consists in 1-D search of the object image on the left(right) image ...

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Anticipating human error before it happens: Towards a psychophysiological model for online prediction of mental workload

Anticipating human error before it happens: Towards a psychophysiological model for online prediction of mental workload

... neurophysiological model of mental workload with performance at a secondary task in a simulated ROV ...this model could later be used to predict mental workload in a real ROV ...

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CONVERGENT ERROR-CONTROLLED MESH ADAPTATION

CONVERGENT ERROR-CONTROLLED MESH ADAPTATION

... adaptation error and norm-oriented approaches, the far-field and inflow are much more refined than in the Mach number ...interpolation error (on all variables) is negligible in these ar- ...of error, ...

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Channel-adapted quantum error correction

Channel-adapted quantum error correction

... Since the average entanglement fidelity is linear in the channel and CPTP maps correspond to positive semidefinite operators, we can determine the op- timal channel-ada[r] ...

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Optimizing CO2 observing networks in the presence of model error: results from TransCom 3

Optimizing CO<sub>2</sub> observing networks in the presence of model error: results from TransCom 3

... and model error Comparison of the predicted fluxes themselves also yields only small differences between the two inverse calculations, especially if one normalizes the differences by the total un- ...the ...

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Control of coupling mass balance error in a process-based numerical model of surface-subsurface flow interaction.

Control of coupling mass balance error in a process-based numerical model of surface-subsurface flow interaction.

... balance error in sequential iterative surface-subsurface flow mod- els was ...CATHY model. A modified time step control scheme was introduced to improve model performance by con- sidering a normalized ...

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Comments on "bounded error adaptive control"

Comments on "bounded error adaptive control"

... The presence of persistent errors, coupled with the adaptive gain mechanism of MRAC algorithms, cause "drifts" in the adaptive gain parameters, which in turn increas[r] ...

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ACI error survey: Canadian data

ACI error survey: Canadian data

... / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur.. For the publisher[r] ...

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