Results 51 to 60 of about 3,355 (179)

Polynomial Updates for the Unscented Kalman Filter

open access: yesCoRR
38 pages, 9 ...
Chiran Cherian, Simone Servadio
openaire   +2 more sources

Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

open access: yesIEEE Access, 2018
A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin   +4 more
doaj   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

Unscented Kalman filter‐aided Gaussian sum filter

open access: yesIET Radar, Sonar & Navigation, 2015
A non‐linear filter is developed for continuous‐time systems with observations/measurements carried out in discrete‐time. The filter developed can approximate the a priori and a posteriori probability density function (pdf) with weighted Gaussian sums inside specific search regions.
Gokce, Murat, Kuzuoglu, Mustafa
openaire   +2 more sources

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 4, April 2026.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya   +2 more
wiley   +1 more source

UKF based estimation approach for DVR control to compensate voltage swell in distribution systems

open access: yesAin Shams Engineering Journal, 2018
The Dynamic Voltage Restorer (DVR) is identified as the best solution for mitigation of voltage sag and swell related problems in the much taped distribution system. The compensation performance of the DVR very much depends on its control algorithm.
P. SasiKiran, T. Gowri Manohar
doaj   +1 more source

Verification of a Fluid–Structure Interaction Model for Aortic Stenosis Through Comparison With In Vitro Experiments

open access: yesInternational Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 4, April 2026.
A patient‐specific Fluid–structure Interaction (FSI) model of aortic stenosis was verified against in vitro experiments using a mock‐loop circulatory system with patient‐specific calcified and non‐calcified valve models under varying flow conditions. The in vitro experiments were replicated in the FSI model.
Sabine Verstraeten   +9 more
wiley   +1 more source

Adaptive Neural Unscented Kalman Filter

open access: yesIEEE Transactions on Intelligent Vehicles
eight pages, ten ...
Amit Levy 0002, Itzik Klein
openaire   +3 more sources

Alternative framework for the iterated unscented Kalman filter

open access: yesIET Signal Processing, 2017
The iterated version of a family of non‐linear Kalman filters, named the unscented transform (UT) based unscented Kalman filters (UKF), are revisited. Two existing frameworks of the iterated UKF are analysed and some shortcomings of them are pointed out.
Guobin Chang, Tianhe Xu, Qianxin Wang
openaire   +2 more sources

A Widely Linear Complex Unscented Kalman Filter [PDF]

open access: yesIEEE Signal Processing Letters, 2011
Conventional complex valued signal processing algorithms assume rotation invariant (circular) signal distributions, and are thus suboptimal for real world processes which exhibit rotation dependent distributions (noncircular). In nonlinear sequential state space estimation, noncircularity can arise from the data, state transition model, and state and ...
Dahir H. Dini   +2 more
openaire   +1 more source

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