Maximum Likelihood Estimation of Stochastic Fractional Singular Models
IEEE Access, 2021 Using the non-causal nature of a fractional-order singular (FOS) model, this paper deals with the modification of an estimation algorithm developed by Nosrati and Shafiee, and demonstrates how the derived estimation procedure can be adjusted by ...
Komeil Nosrati +2 more
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Lithium-Ion Battery Modeling and State of Charge Prediction Based on Fractional-Order Calculus
Mathematics, 2023 Predicting lithium-ion batteries’ state of charge (SOC) is essential to electric vehicle battery management systems. Traditional lithium-ion battery models mainly include equivalent circuit models (ECMs) and electrochemical models (EMs).
Xinfeng Zhang +3 more
doaj +1 more source
Innovation-based fractional order adaptive Kalman filter [PDF]
Journal of Electrical Engineering, 2020 Abstract Kalman Filter (KF) is the most widely used estimator to estimate and track the states of target. It works well when noise parameters and system models are well defined in advance. Its performance degrades and starts diverging when noise parameters (mainly measurement noise) changes.
Ravi Pratap Tripathi +2 more
openaire +1 more source
Application of fractional sensor fusion algorithms for inertial mems sensing
Mathematical Modelling and Analysis, 2009 The work presents an extension of the conventional Kalman filtering concept for systems of fractional order (FOS). Modifications are introduced using the Grünwald‐Letnikov (GL) definition of the fractional derivative (FD) and corresponding truncation of ...
Michailas Romanovas +3 more
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Linear filtering of systems with memory [PDF]
, 2004 We study the linear filtering problem for systems driven by continuous Gaussian processes with memory described by two parameters. The driving processes have the virtue that they possess stationary increments and simple semimartingale representations ...
Inoue, Akihiko +2 more
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Fractional Order Equivalent Circuit Model and SOC Estimation of Supercapacitors for Use in HESS
IEEE Access, 2019 Supercapacitors are an important part of the hybrid energy storage system for electric vehicles (EVs.) They not only protect the battery, but also improve the starting performance, acceleration performance, and regenerative braking performance of the EVs.
Jianlin Wang +4 more
doaj +1 more source
Combining long memory and level shifts in modeling and forecasting the volatility of asset returns [PDF]
, 2017 We propose a parametric state space model of asset return volatility with an accompanying estimation and forecasting framework that allows for ARFIMA dynamics, random level shifts and measurement errors.
Perron, Pierre, Varneskov, Rasmus T.
core +1 more source
Estimation of Lithium-Ion Battery SOC Model Based on AGA-FOUKF Algorithm
Frontiers in Energy Research, 2021 Aiming at the state estimation error caused by inaccurate battery model parameter estimation, a model-based state of charge (SOC) estimation method of lithium-ion battery is proposed. This method is derived from parameter identification using an adaptive
Chao Fang +3 more
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Maximum-likelihood estimation of delta-domain model parameters from noisy output signals [PDF]
, 2008 Fast sampling is desirable to describe signal transmission through wide-bandwidth systems. The delta-operator provides an ideal discrete-time modeling description for such fast-sampled systems. However, the estimation of delta-domain model parameters is
Anderson, S.R., Kadirkamanathan, V.
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Performance of the MIND detector at a Neutrino Factory using realistic muon reconstruction [PDF]
, 2010 A Neutrino Factory producing an intense beam composed of nu_e(nubar_e) and nubar_mu(nu_mu) from muon decays has been shown to have the greatest sensitivity to the two currently unmeasured neutrino mixing parameters, theta_13 and delta_CP .
A. Cervera +27 more
core +2 more sources