Fractional kalman filter - Open Access .click

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Structural Performance Warning Based on Computer Intelligent Monitoring and Fractional-Order Multi-Rate Kalman Fusion Method

Fractal and Fractional
When bridge towers are subjected to strong winds, they exhibit significant displacements. This displacement change can serve as an important indicator for structural performance warning.
Yan Wang +5 more
doaj +1 more source

Investigations of a compartmental model for leucine kinetics using nonlinear mixed effects models with ordinary and stochastic differential equations

, 2011
Nonlinear mixed effects models represent a powerful tool to simultaneously analyze data from several individuals. In this study a compartmental model of leucine kinetics is examined and extended with a stochastic differential equation to model non-steady
Adiels, Martin +4 more
core +1 more source

Weighted Measurement Fusion Fractional Order Kalman Filter

Procedia Engineering, 2012
AbstractA weighted measurement fusion fractional Kalman filter is presented for the multisensor linear discrete fractional state-space systems. It is more universal and practical, which is because the description of fractional order is more accurate than that given by integer order.
Sun, Xiaojun, Yan, Guangming
openaire +1 more source

Likelihood Estimation for Stochastic Differential Equations with Mixed Effects

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios, Mogens Bladt, Michael Sørensen +2 more
wiley +1 more source

Online estimation of lithium battery SOC based on fractional order FOUKF‐FOMIUKF algorithm with multiple time scales

Energy Science & Engineering
Aiming at the matter of poor precision in predicting the charge of lithium battery by applying conventional integer‐order models and offline parameter identification, this paper proposes a joint fractional‐order multi‐innovations unscented Kalman filter (
Likun Xing +4 more
doaj +1 more source

Cooperative Estimation Method for SOC and SOH of Lithium-Ion Batteries Based on Fractional-Order Model

World Electric Vehicle Journal
To overcome the limitations of traditional integer-order models, which fail to accurately capture the dynamic behavior of lithium-ion batteries, and to improve the insufficient accuracy of state of charge (SOC) and state of health (SOH) collaborative ...
Guoping Lei +4 more
doaj +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, Volume 72, Issue 6, June 2026.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source

Joint Battery State of Charge Estimation Method Based on a Fractional-Order Model with an Improved Unscented Kalman Filter and Extended Kalman Filter for Full Parameter Updating

Fractal and Fractional
State estimation of batteries is crucial in battery management systems (BMSs), particularly for accurately predicting the state of charge (SOC), which ensures safe and efficient battery operation.
Jingjin Wu +5 more
doaj +1 more source

First Results of a New Inversion Tool for Thermospheric Neutral Mass Density Computations During Severe Geomagnetic Storms

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract In Low Earth Orbit (LEO), atmospheric drag is the dominant source of trajectory prediction error below approximately 700 km altitude, primarily due to inaccuracies in thermospheric density models. This work presents a method for temporally deconvolving Energy Dissipation Rates (EDRs) to produce single‐satellite density estimates, which can be ...
S. Mutschler +6 more
wiley +1 more source

KinKal: A Kinematic Kalman filter Track Fitting Package for the Mu2e Experiment [PDF]

EPJ Web of Conferences
Many current physics experiments require precision reconstruction of low-energy particles. One example is the Mu2e experiment, which requires reconstructing an isolated 105 MeV electron with better than 500 KeV/c momentum resolution. Mu2e uses a low-mass
Brown David
doaj +1 more source

filtering in stochastic control theory
fractional calculus
fractional derivatives and integrals

lithium-ion battery
fractional-order model
kalman filter

discrete-time control/observation systems
state of charge
soc estimation