Results 71 to 80 of about 18,405 (198)
Simulation tracking results of the EKF-Max method.
, 2022 Simulation tracking results of the EKF-Max method.
Chuanping Zhou (14204340) +4 more
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Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation
IEEE Access, 2018 In this paper, the robustness of model-based state observers including extended Kalman filter (EKF) and unscented Kalman filter (UKF) for state of charge (SOC) estimation of a lithium-ion battery against unknown initial SOC, current noise, and ...
Chao Huang +5 more
doaj +1 more source
State of Charge Estimation of Lithium-Ion Batteries Based on Hidden Markov Factor Graphs
MathematicsLithium-ion batteries serve as critical energy storage devices and are extensively utilized across diverse applications. The accurate estimation of State of Charge (SOC) is critically important for Battery Management Systems.
Wei Fang +4 more
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Autonomous Navigation with Constrained Consistency for
International Journal of Advanced Robotic Systems, 2014 Autonomous underwater vehicles (AUVs) have become the most widely used tools for undertaking complex exploration tasks in marine environments. Their synthetic ability to carry out localization autonomously and build an environmental map concurrently, in ...
Shujing Zhang +4 more
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EKF based sensor fault diagnosis for an internal combustion engine
, 2019 Best paper award CSTCC 2019 (23rd International Conference on System Theory, Control and ComputingInternational audienceIn this work, we present the design of a fault detection and isolation (FDI) system for the intake manifold pressure and temperature ...
R. F. Escobar-Jimenez +5 more
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Multi-EKF Localization Algorithm for Multi-Robots Formation Navigation
, 2011 This research presents a dynamic multi-robots formation navigation algorithm named multi-EKF localization algorithm, which derived from single EKF. In this algorithm, all formation members are treated as landmarks with known association.
Yun Fei Cai +2 more
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Electrical engineering & ElectromechanicsIntroduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments.
K. Khemiri, R. Djebali
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An Improved algorithm for moving object tracking based on EKF
, 2018 Kalman filter estimates the desired signal from the amount of measurement related to the extracted signal, which is widely used in engineering due to its simple calculation and easy programming on a computer. However, the basic theory originally proposed
Hou, Leichao +4 more
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Comparing of LPC-EKF, LPC-UKF in UUV bearings-only tracking systems
, 2010 Unmanned underwater vehicles have various missions within civilian, military and academic sectors. They have the ability to explore areas unavailable to manned assets and to perform duties that are risky to humans. In particular, UUVs have the ability to
Lin CL(林昌龙) +3 more
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PERBANDINGAN PERFORMA EXTENDED KALMAN FILTER (EKF) DAN EKF-BASED NONLINEAR OBSERVER PADA SISTEM NONLINEAR TANGKI GANDA [PDF]
Sistem tangki ganda merupakan sistem proses industri yang memiliki dinamika nonlinier, sehingga menyulitkan proses estimasi ketinggian air, terutama ketika sistem dipengaruhi oleh gangguan.
KANAYA SYAFA AZ-ZAHRA
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