Results 91 to 100 of about 55,859 (291)
Robust Mars Atmospheric Entry Integrated Navigation based on Parameter Sensitivity
, 2015 This paper presented a robust integrated navigation algorithm based on a special robust desensitized extended Kalman filtering with analytical gain (ADEKF) during the Mars atmospheric entry.
Lou, Taishan, Zhao, Liangyu
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International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT This study addresses the trajectory tracking control for manipulator robots with uncertainties. The main objective is to ensure that the robot follows a desired trajectory despite the presence of uncertainties/disturbances and considering control input constraints. The approach is developed in the framework of continuous integral sliding modes.
Emanuel Ortiz‐Ortiz +3 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2011 The paper studies sensorless control for DC and induction motors, using Kalman Filtering techniques. First the case of a DC motor is considered and Kalman Filter-based control is implemented.
Gerasimos G. Rigatos, Pierluigi Siano
doaj +1 more source
Online Natural Gradient as a Kalman Filter
, 2017 We cast Amari's natural gradient in statistical learning as a specific case of Kalman filtering. Namely, applying an extended Kalman filter to estimate a fixed unknown parameter of a probabilistic model from a series of observations, is rigorously ...
Ollivier, Yann
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Risk-Sensitive Extended Kalman Filter
2024 IEEE International Conference on Robotics and Automation (ICRA)In robotics, designing robust algorithms in the face of estimation uncertainty is a challenging task. Indeed, controllers often do not consider the estimation uncertainty and only rely on the most likely estimated state. Consequently, sudden changes in the environment or the robot's dynamics can lead to catastrophic behaviors.
Jordana, Armand +4 more
openaire +3 more sources
Structural Modeling and Dynamics of the Full‐Length Homer1 Multimer
Proteins: Structure, Function, and Bioinformatics, EarlyView.ABSTRACT Homer proteins are modular scaffold molecules that constitute an integral part of the protein network within the postsynaptic density. Full‐length Homer1 forms a large homotetramer via a long coiled coil region, and can interact with proline‐rich target sequences with its globular EVH1 domain.
Zsófia E. Kálmán +9 more
wiley +1 more source
Image Binarisation using the Extended Kalman Filter [PDF]
, 2007 Form design is frequently carried out through paper sketches of the designer’s mental model of an object. To improve the time it takes from solution concept to production it would therefore be beneficial if paperbased sketches can be automatically interpreted for importation into three-dimensional geometric computer aided design (CAD) systems.
Bartolo, Alexandra +5 more
openaire +2 more sources
Quarterly Journal of the Royal Meteorological Society, EarlyView.Soil Moisture Active Passive soil moisture retrievals are assimilated into a land surface model and the resulting land reanalysis product is used to initialise the land component of coupled land‐atmosphere experiments. We show that the local impact of land data assimilation on the atmosphere is influenced by two factors: the magnitude by which it ...
Zdenko Heyvaert +6 more
wiley +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
Quarterly Journal of the Royal Meteorological Society, EarlyView.The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
Multirate Kalman filtering approach for optimal two-dimensional signal reconstruction from noisy subband systems [PDF]
, 1997 The International Conference on Image Processing, Santa Barbara, California, 26-29 October 1997Conventional synthesis filters in subband systems lose their optimality when additive noise due, for example, to signal quantization, disturbs the subband ...
Ho, KL +4 more
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