Results 21 to 30 of about 9,303 (171)
Dyna, 2019 Due to sensor limitations in some applications, induction motors state estimators are widely used in industries. One of the most powerful tools available for estimation is the Kalman filter.
Amin Darvishi, Aref Doroudi
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Batteries, 2023 Accurate state of charge (SOC) estimation is helpful for battery management systems to extend batteries’ lifespan and ensure the safety of batteries. However, due to the pseudo-positive definiteness of the covariance matrix and noise statistics error ...
Simin Peng +5 more
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International Journal of Interactive Mobile Technologies (iJIM), 2020 <p class="0abstract">In this report, we perform the digital filter computation using Matlab for Wi-Fi tracking application. This work motivates to improve the accuracy of filter algorithm in the RSSI-based distance localization system. There are several aspects that we can improve, e.g., in the Filter part and Path-loss model.
Syifaul Fuada +2 more
openaire +3 more sources
IEEE Access, 2019 In target tracking, the tracking process needs to constantly update the data information. For maneuvering target, model mismatch and loss of high-order moment information disrupt the accuracy of the state estimation. In this paper, an adaptive high-order
Weidong Zhou, Jiaxin Hou
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Model Prediction-Based Approach to Fault Tolerant Control with Applications [PDF]
, 2013 — Fault-tolerant control (FTC) is an integral component in industrial processes as it enables the system to continue robust operation under some conditions.
Khalid, Dr. Haris M. +1 more
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Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise
IEEE 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
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Attitude Estimation of Quadrotor UAV Based on QUKF
IEEE Access, 2023 Toward the quadcopter unmanned aerial vehicle (UAV) attitude measurement problem, to improve the accuracy of acquisition of vehicle attitude parameters, and ensure accuracy of subsequent attitude control, the Quaternion-based Unscented Kalman filter ...
Tao Liang +7 more
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Tracking Algorithms Aided by the Pose of Target
IEEE Access, 2019 The traditional target tracking algorithms have utilized the information on the target position. With the development of radar high-resolution technology, it is possible to obtain the pose of target. In this paper, two target tracking algorithms aided by
Dai Liu, Yongbo Zhao, Baoqing Xu
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Machines, 2023 This paper analyzes the performance of Kalman filter-based estimators for robust filtering and rotor asymmetry detection in wound rotor induction machines (WRIMs) using real-time data. Filter models were designed based on an extended model of WRIMs.
Furzana John Basha, Kumar Somasundaram
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Statistical Modelling of Cell Movement [PDF]
, 2017 In this paper we demonstrate an application of the unscented Kalman filter in the context of cell movement, using a model defined in terms of stochastic differential equations (SDEs)
Giurghita, Diana, Husmeier, Dirk
core +2 more sources