Results 31 to 40 of about 66,114 (285)

Morphing Ensemble Kalman Filters

, 2007
A new type of ensemble filter is proposed, which combines an ensemble Kalman filter (EnKF) with the ideas of morphing and registration from image processing.
Alexander G. D., Anderson J. L., Brown L. G., Burgers G., Chen Y., Davis C., Evensen G., Evensen G.,, Frey A. E., Gao P., Hoffman R. N., Houtekamer P., Jan Mandel, Jonathan D. Beezley, Kalman R. E., Ravela S.   +15 more
core   +2 more sources

Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]

, 2017
Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J., Fotouhi, Abbas, Knap, Vaclav, Longo, Stefano, Propp, Karsten   +4 more
core   +2 more sources

Nonlinear Extended Kalman Filter for Attitude Estimation of the Fixed-Wing UAV

International Journal of Optics, 2022
Flying vehicle’s navigation, direction, and control in real-time results in the design of a strap-down inertial navigation system (INS). The strategy results in low accuracy, performance with correctness.
Tang Xiaoqian, Zhao Feicheng, Tang Zhengbing, Wang Hongying   +3 more
doaj   +1 more source

Robust Kalman Filtering [PDF]

, 2000
As already pointed out in Hardle, Klinke, and Muller (2000, Chapter 10), state-space models are very useful and flexible in the sense that various recursive methods for time-dependent situations can be formulated as general solutions of filtering, smoothing and prediction problems in state-space models.
openaire   +3 more sources

SiO2‐CaOCME/Poly(Tetrahydrofuran)/Poly(Caprolactone) 3D‐Printed Scaffolds Drive Human‐Bone Marrow Stromal Cell Osteogenic Differentiation

Advanced Healthcare Materials, EarlyView.
3D printed hybrid scaffolds combining bioactive silica–calcium chemistry with elastic polymers guide human bone stem cells to form bone. The scaffolds support cell survival, organization, and invasion while releasing osteogenic ions. Together, architecture and composition drive bone‐specific gene expression, extracellular matrix organization, and ...
David R. Sory, Agathe C.M. Heyraud, Julian R. Jones, Sara M. Rankin   +3 more
wiley   +1 more source

Sparsity-Based Kalman Filters for Data Assimilation [PDF]

, 2018
Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications.
Kang, Wei, Xu, Liang
core   +1 more source

Flexible Dielectric Acoustic Resonator Patch for Tissue Regeneration

Advanced Materials, EarlyView.
A flexible dielectric acoustic resonator patch enables MHz‐range ultrasound generation through resonance amplification without using piezoelectric materials. Conformal integration on a curved substrate allows efficient acoustic delivery to tissue‐mimicking environments.
Donyoung Kang, Byeongseok Ryu, Sujeong Ahn, Junhyub Kim, Myeonghun Jang, Jeong Ho Cho, Won‐Gun Koh, Hyungsuk Lee   +7 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Robust Filtering for Linear State-space Models with Non-propagating Outliers Following a Mixture of Gaussian Distributions

Austrian Journal of Statistics
The problem of recursive filtering in linear state-space models is considered. The solution to this problem is the classical Kalman filter which is optimal in the sense that it minimizes the variance of the estimated states, if the error processes of ...
Bernhard Spangl
doaj   +1 more source

Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study

Sensors, 2018
Bayes filters, such as the Kalman and particle filters, have been used in sensor fusion to integrate two sources of information and obtain the best estimate of unknowns. The efficient integration of multiple sensors requires deep knowledge of their error
Siavash Hosseinyalamdary
doaj   +1 more source