Results 11 to 20 of about 55,859 (291)

Joint Dynamic Strategy of Bayesian Regularized Back Propagation Neural Network with Strong Robustness - Extended Kalman Filtering for the Battery State-of-Charge Prediction

International Journal of Electrochemical Science, 2021
Accurate estimation of the state of charge plays an important role in real-time monitoring and safety control of lithium-ion batteries. In practical application, the use of lithium-ion battery will face different sudden noise.
Yifen Hu, Yixing Zhang, Shunli Wang, Wenhua Xu, Yongcun Fan, Yuyang Liu   +5 more
doaj   +1 more source

Processing and filtering analysis of navigation data of underground strapdown inertial navigation system

Gong-kuang zidonghua, 2014
In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
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

Event-Triggered Extended Kalman Filtering Analysis for Networked Systems

Mathematics, 2022
In this paper, the filtering problem of nonlinear networked systems with event-triggered data transmission tasks is studied. To reduce the transmission of excessive measurement data in the bandwidth-limited network, a data transmission mechanism with ...
Huijuan Zhao, Jiapeng Xu, Fangfei Li
doaj   +1 more source

Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements [PDF]

, 2012
Copyright @ 2012 ElsevierIn this paper, the extended Kalman filtering problem is investigated for a class of nonlinear systems with multiple missing measurements over a finite horizon.
Basin, Basin, Bishop, Calafiore, Chen, Cheng, Horn, Hounkpevi, Hounkpevi, Huijun Gao, James, Jun Hu, Kallapur, Kluge, Lampros K. Stergioulas, Li, Li, Mao, NaNacara, Pathirana, Reif, Sahebsara, Shi, Sun, Theodor, Wang, Wang, Wei, Wu, Xie, Xie, Xiong, Xiong, Xiong, Yaz, Yaz, Yaz, Yue, Zidong Wang   +38 more
core   +1 more source

Bayesian Nonlinear Filtering via Information Geometric Optimization

Entropy, 2017
In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li, Yongqiang Cheng, Xiang Li, Hongqiang Wang, Xiaoqiang Hua, Yuliang Qin   +5 more
doaj   +1 more source

State augmentation-based modified iterated extended Kalman filtering

Dianzi Jishu Yingyong, 2020
This paper derives a state augmentation-based modified iterated extended Kalman filter(SMIEKF) by making use of the state augmentation technique, in which the state variables are directly augmented with the measurement noise.
Liu Meihong, Gao Shanfeng, Li Wei, Xie Bin   +3 more
doaj   +1 more source

A survey on distributed filtering, estimation and fusion for nonlinear systems with communication constraints: new advances and prospects

Systems Science & Control Engineering, 2020
In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.
Zhibin Hu, Jun Hu, Guang Yang
doaj   +1 more source

Filtering Electrocardiogram Signals Using the Extended Kalman Filter [PDF]

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
In this paper the Extended Kalman Filter (EKF) has been used for the filtering of Electrocardiogram (ECG) signals. The method is based on a previously nonlinear dynamic model proposed for the generation of synthetic ECG signals. The results show that the EKF may be used as a powerful tool for the extraction of ECG signals from noisy measurements; which
R, Sameni, M B, Shamsollahi, C, Jutten
openaire   +2 more sources

Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter [PDF]

, 2016
Inspired by the estimation capability of Kalman filter, we have recently introduced novel estimation-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter.
Ismail, Ibrahim, Khairul Hamimah, Abas, Mohd Saberi, Mohamad, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz, Shahdan, Sudin, Zulkifli, Md. Yusof, Zuwairie, Ibrahim   +7 more
core   +3 more sources