Results 121 to 130 of about 1,310 (144)

Square Root Cubature Information Filter

IEEE Sensors Journal, 2013
Nonlinear state estimation plays a major role in many real-life applications. Recently, some sigma-point filters, such as the unscented Kalman filter, the particle filter, or the cubature Kalman filter have been proposed as promising substitutes for the conventional extended Kalman filter.
Kumar Pakki Bharani Chandra, Da-Wei Gu, Ian Postlethwaite   +2 more
openaire   +3 more sources

Improved square-root cubature information filter

Transactions of the Institute of Measurement and Control, 2016
In this paper, a theoretical comparison between existing the sigma-point information filter (SPIF) framework and the unscented information filter (UIF) framework is presented. It is shown that the SPIF framework is identical to the sigma-point Kalman filter (SPKF). However, the UIF framework is not identical to the classical SPKF due to the neglect of
Yulong Huang, Yonggang Zhang, Ning Li, Lin Zhao   +3 more
openaire   +1 more source

Diffusion self-triggered square-root cubature information filter for nonlinear non-Gaussian systems and its application to the optic-electric sensor network

Information Fusion, 2020
Abstract This article focuses on the problem of the distributed estimation for a class of discrete-time nonlinear non-Gaussian systems. In this paper, the non-Gaussian noises are approximated by the Gaussian mixture model. A novel method to merge the Gaussian components has been proposed in this article to improve its numerical stability. A diffusion
Ye Chen, Andong Sheng, Guoqing Qi, Yinya Li   +3 more
openaire   +1 more source

An improved range parameterized square root cubature information filter algorithm for multi-UAV cooperative passive location

2015 IEEE International Conference on Information and Automation, 2015
In order to improve the deficiency of range information unmeasurable in passive location and high computational complexity in distributed fusion estimation, an improved range parameterized square root cubature information filter (RP-SRCIF) algorithm is proposed.
Deyun Zhou, Hao Zhang, Qian Pan, Kun Zhang   +3 more
openaire   +1 more source

State of Charge Estimation of Lithium-Ion Batteries Based on Grey Wolf Optimizer-Adaptive New Information Square-Root Cubature Kalman Filter Algorithm

Journal of The Electrochemical Society
State of charge (SOC) estimation of lithium-ion batteries is one of the key technologies in battery management systems. Accurate SOC estimation is crucial for improving battery efficiency, extending battery lifespan, and ensuring safety. To enhance the capability and accuracy of SOC estimation, we propose an adaptive modified innovation square-root ...
Pei Tang, Jiahao Pan, Zhongran Yao, Zetao Qiu, Dashuai Cheng, Xiaoyong Gu   +5 more
openaire   +1 more source

Distributed object tracking based on square root cubature H-infinity information filter

2014
Several non-linear state estimation methods such as extended Kalman filter, cubature Kalman filter, and unscented Kalman filter are used to track objects in visual sensor networks. These conventional non-linear state estimation methods require the accurate knowledge of the object's initial conditions, process and measurement models, and corresponding ...
Venkata Pathuri Bhuvana, Mario Huemer, REGAZZONI, CARLO   +2 more
openaire   +1 more source

A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter

Energy, 2021
Cong Jiang, Shunli Wang
exaly  

State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter

Energy, 2023
Fei Chen, Guoyang Cheng, Qiao Wang
exaly  

Seamless GPS/Inertial Navigation System Based on Self-Learning Square-Root Cubature Kalman Filter

IEEE Transactions on Industrial Electronics, 2021
Chong Shen, Yu Zhang, Xiaoting Guo
exaly  

Adaptive state-of-charge estimation of lithium-ion batteries based on square-root unscented Kalman filter

Energy, 2022
Li-ping Chen, António M Lopes
exaly