Results 11 to 20 of about 270,111 (384)
An Extended Kalman Filter for Data-enabled Predictive Control [PDF]
IEEE Control Systems Letters, 2020 The literature dealing with data-driven analysis and control problems has significantly grown in the recent years. Most of the recent literature deals with linear time-invariant systems in which the uncertainty (if any) is assumed to be deterministic and
Alpago, Daniele +2 more
core +2 more sources
State of charge estimation of lithium-ion battery based on extended Kalman filter algorithm
Frontiers in Energy Research, 2023 Due to excellent power and energy density, low self-discharge and long life, lithium-ion battery plays an important role in many fields. Directed against the complexity of above noises and the strong sensitivity of the common Kalman filter algorithm to ...
Jiamiao Xie +6 more
semanticscholar +1 more source
Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Navigation, 2021 Factor graph optimization (FGO) recently has attracted attention as an alternative to the extended Kalman filter (EKF) for GNSS-INS integration.
W. Wen, T. Pfeifer, Xiwei Bai, L. Hsu
semanticscholar +1 more source
IEEE Access, 2021 Accurate state-of-charge (SOC) and state-of-health (SOH) estimations of batteries are of great significance for electric vehicles. A combined SOC and SOH estimation method for lithium-ion batteries based on a dual extended Kalman filter (EKF) and ...
Liuyi Ling, Ying Wei
semanticscholar +1 more source
Scientific Reports, 2021 An accurate state of charge (SOC) estimation in battery management systems (BMS) is of crucial importance to guarantee the safe and effective operation of automotive batteries.
Shichun Yang +7 more
semanticscholar +1 more source
Energies, 2021 The growing share of renewable energies in power production and the rise of the market share of battery electric vehicles increase the demand for battery technologies.
Benedikt Rzepka, Simon Bischof, T. Blank
semanticscholar +1 more source
Interval Extended Kalman Filter—Application to Underwater Localization and Control
Algorithms, 2021 The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an ...
Morgan Louédec, Luc Jaulin
doaj +1 more source
Journal of Low Frequency Noise, Vibration and Active Control, 2020 The extended Kalman filter is a useful tool in the research of structural health monitoring and vibration control. However, the traditional extended Kalman filter approach is only applicable when the information of external inputs to structures is ...
Jinshan Huang +4 more
doaj +1 more source
Comparisons of nonlinear estimators for wastewater treatment plants [PDF]
, 2012 This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF ...
Abdul Wahab, Hamimi Fadziati Binti +2 more
core +1 more source
Filtering performance analyizing for Relative Navigation using Single Difference Carrier-Phase GPS [PDF]
Journal of Astronomy and Space Sciences, 2008 Satellite formation flying can provide the platform for interferometric observation to acquire the precise data and ensure the flexibility for space mission.
In-Kwan Park +4 more
doaj +1 more source