Results 321 to 330 of about 270,111 (384)

Smoothly Constrained Extended Kalman Filter

2020 15th IEEE International Conference on Signal Processing (ICSP), 2020
For nonlinear state estimate, the EKF is an effective technique the base point error should be noted. The paper proposes a smoothly constrained extended Kalman filter for the nonlinear Gaussian mode. The statistical noise of the system is modeled as a constrained mathematical model, the objective function is established based on the maximum posterior ...
Hongwei Zhang, Xiaohu Zhang, Weixin Xie, Jinliang Du   +3 more
openaire   +1 more source

A Battery Management System With a Lebesgue-Sampling-Based Extended Kalman Filter

IEEE transactions on industrial electronics (1982. Print), 2019
The estimation and prediction of state-of-health (SOH) and state-of-charge (SOC) of Lithium-ion batteries are two main functions of the battery management system (BMS).
Wuzhao Yan, Bin Zhang, Guangquan Zhao, Shijie Tang, Guangxing Niu, Xiaofeng Wang   +5 more
semanticscholar   +1 more source

Q‐learning for noise covariance adaptation in extended KALMAN filter

Asian journal of control, 2020
The extended Kalman filter (EKF) is a widely used method in navigation applications. The EKF suffers from noise covariance uncertainty, potentially causing it to perform poorly in practice.
K. Xiong, Chunling Wei, Haoyu Zhang
semanticscholar   +1 more source

Parameter identification of a differentiable Bouc-Wen model using constrained extended Kalman filter

Structural Health Monitoring, 2020
Hysteresis is of critical importance to structural safety under severe dynamic loading conditions. One of the widely used hysteretic models for civil structures is the Bouc-Wen model, the effectiveness of which depends on suitable model parameters.
Dan Li, Yang Wang
semanticscholar   +1 more source

Bayesian filtering techniques: Kalman and extended Kalman filter basics

2009 19th International Conference Radioelektronika, 2009
Bayesian filters provide a statistical tool for dealing with measurement uncertainty. Bayesian filters estimate a state of dynamic system from noisy observations. These filters represent the state by random variable and in each time step probability distribution over random variable represents the uncertainty.
Jan Mochnac, Stanislav Marchevsky, Pavol Kocan   +2 more
openaire   +1 more source

Terahertz Extended Kalman Filtering Method

2022 Photonics North (PN), 2022
Terahertz time domain spectroscopy (THz-TDS) is a well-established spectroscopy technique that can investigate modes of molecules, particularly in vapour. However, maximum detectable absorption is often low and depends on the dynamic range of the THz-TDS system and the thickness of the sample.
Spotts I, Brodie CH, Leclerc CA, Jahed N, Saeedkia D, Gadsden SA, Al-Shabi M, Collier CM   +7 more
openaire   +1 more source

Synchronization through extended kalman filtering

2007
We study the synchronization problem in discrete-time via an extended Kalman filter (EKF). That is, synchronization is obtained of transmitter and receiver dynamics in case the receiver is given via an extended Kalman filter that is driven by a noisy drive signal from the transmitter.
Cruz, César, Nijmeijer, Henk
openaire   +2 more sources

Adaptive Extended Kalman Filter for Speed-Sensorless Control of Induction Motors

IEEE transactions on energy conversion, 2019
This paper presents an adaptive extended Kalman filter (AEKF) algorithm estimating the stator stationary axis components of stator currents, the stator stationary axis components of rotor fluxes, the rotor mechanical speed, and the load torque for speed ...
Emrah Zerdali
semanticscholar   +1 more source

Fast Detection and Compensation of Current Transformer Saturation Using Extended Kalman Filter

IEEE Transactions on Power Delivery, 2019
In this paper, an efficient method based on the Kalman filter (KF) theory is proposed for fast and accurate detection and compensation of current transformer (CT) saturation.
F. Naseri, Z. Kazemi, E. Farjah, T. Ghanbari   +3 more
semanticscholar   +1 more source

The quadratic extended Kalman filter

Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal, 2005
This paper extends the extended Kalman filter (EKF) to cover those scenarios in which the input signal is unknown and quadratic processing is required to estimate and track some parameters of interest. The optimal quadratic tracker is found to incorporate the fourth-order statistical knowledge about the excitation signal.
J. Villares, G. Vazquez
openaire   +1 more source