Results 31 to 40 of about 94,605 (282)

Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise

Sensors, 2018
This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi, Xianfeng Tang, Xiaoliang Feng, Dingjun Bian, Xizhao Zhou   +4 more
doaj   +1 more source

Smoothing Dynamic Systems with State-Dependent Covariance Matrices

, 2014
Kalman filtering and smoothing algorithms are used in many areas, including tracking and navigation, medical applications, and financial trend filtering.
Aravkin, Aleksandr Y., Burke, James V.
core   +1 more source

STABILITY ANALYSIS AND PERFORMANCE OF KALMAN FILTERING AND ROBUST KALMAN FILTERING ON UNCERTAIN CONTINUOUS-TIME SYSTEMS

Barekeng
This paper discusses the stability analysis of robust Kalman filtering on uncertain continuous-time systems. In real applications, systems often face model uncertainty and noise affecting prediction and estimation accuracy.
Budi Rudianto, Muhafzan Muhafzan, Mahdhivan Syafwan, Syafrizal Sy   +3 more
doaj   +1 more source

Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]

Xibei Gongye Daxue Xuebao, 2018
Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...

doaj   +1 more source

Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter

Applied Sciences
To improve the upright balancing performance of the two-wheeled self-balancing car, this paper proposes an attitude estimation algorithm based on fuzzy Kalman filtering. Fuzzy logic is used to correct the inclination angle and angular velocity of the two-
Yimin Ma, Fanhao Meng, Shuangshuang Xiong   +2 more
doaj   +1 more source

SOC Estimation of Lithium Iron Phosphate Battery Based on Kalman Filtering Algorithm

Chemical Engineering Transactions, 2017
In order to improve the estimation accuracy of the state of charge (SOC) of electric vehicle, a second-order RC equivalent circuit model considering the battery capacity time-variation is proposed.
Bin Zhao, Jingui Liu, Hao Li
doaj   +1 more source

Optimization viewpoint on Kalman smoothing, with applications to robust and sparse estimation

, 2013
In this paper, we present the optimization formulation of the Kalman filtering and smoothing problems, and use this perspective to develop a variety of extensions and applications.
A Carmi, Alfred M Bruckstein, AY Aravkin, BM Bell, BM Bell, BM Bell, BM Bell, CC Paige, CC Paige, CF Ansley, DL Donoho, E Berg van den, F Dinuzzo, G Wahba, GA Hewer, H Mansour, HE Rauch, Irvin C Schick, James V Burke, Jun S Liu, Junbin Gao, JV Burke, L Fahrmeir, Ludwig Fahrmeir, R Kandepu, R Tibshirani, RE Kalman, S Kourouklis, S-J Kim, Simon Julier, SJ Wright, T Lefebvre   +31 more
core   +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

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source

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