Results 51 to 60 of about 18,908 (211)
FEATURES OF UNSCENTED KALMAN FILTER PERFORMANCE USING POLAR MEASUREMENTS
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The principle of the unscented transformation and features of Unscented Kalman filter performance using polar measurement is considered. The estimation performance of Extended Kalman filter and Unscented Kalman Filter is compared.
P. A. Khmarski, A. S. Solonar
doaj
IEEE Access, 2021 An integration scheme for sideslip angle estimation is proposed where a deep neural network and a simple kinematics-based model are combined in an unscented Kalman filter.
Dongchan Kim +3 more
doaj +1 more source
Robust Gaussian Filtering using a Pseudo Measurement
, 2016 Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette +6 more
core +1 more source
Localization of passive UHF RFID Labels with Kalman Filter [PDF]
, 2012 Localization via Radio Frequency Identification (RFID) is frequently used in different applications nowadays. It has the advantage that next to its ostensible purpose of identifying objects via their unique IDs it can simultaneously be used for the ...
J. Götze, T. Nick
core +1 more source
Unscented Kalman Filter for Brain-Machine Interfaces
PLoS ONE, 2009 Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they
Zheng Li +5 more
openaire +4 more sources
Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer
Battery Energy, Volume 5, Issue 2, March 2026.A finite‐time second‐order sliding mode observer (SO‐SMO) is proposed for accurate and robust state‐of‐charge estimation in lithium‐ion batteries, achieving fast convergence, chattering elimination, and superior estimation accuracy compared to conventional methods, making it ideal for real‐time battery management applications in electric and hybrid ...
Mohammad Asadi +5 more
wiley +1 more source
FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed.
A. S. Solonar, P. A. Khmarski
doaj
Unscented Kalman Filter Based Attitude Estimation of a Quadrotor
Havacılık ve Uzay Teknolojileri Dergisi, 2021 Quadrotors are well - known unmanned aerial vehicle structures that have some advantages such as hovering, vertical take – off and landing, and low – speed flight. On the other hand, quadrotors are subjected to modeling and sensor uncertainties that lead
Aziz Kaba
doaj
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
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 3, Page 759-780, March 2026.ABSTRACT Accurate mechanical characterization of civil engineering structures after construction remains challenging due to the unique complexities of each structure, including geometric configurations, imperfect design modeling assumptions, soil conditions, and pervasive uncertainties in actual operational environments. Leveraging actual measurements,
Xinhao He +7 more
wiley +1 more source