Particle filter‐based prognostics for composite curing process
Sign Up to like & getrecommendations! Published in 2024 at "Polymer Composites"
DOI: 10.1002/pc.28677
Abstract: Process‐induced deformation (PID) arises in thermoset parts due to internal residual stress developed from their anisotropic properties, resulting in distortions. While passive numerical manufacturing control exists, active manufacturing control is crucial for enhancing the manufacturing… read more here.
Keywords: process; cure; particle filter; manufacturing ... See more keywords
Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7416
Abstract: The article presents an innovative approach to simultaneously estimate states and unknown inputs (UIs) in nonlinear systems using a particle filter (PF) based recursive expectation‐maximization (EM) algorithm. This method is distinct from traditional iterative EM… read more here.
Keywords: nonlinear systems; based recursive; particle filter; algorithm ... See more keywords
Particle filter‐based aerial tracking for moving targets
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22134
Abstract: This paper considers the problem of tracking a moving target with a radio transmitter using an aerial robot in an online manner. The aerial robot is equipped with a low‐cost directional antenna and Software Defined… read more here.
Keywords: filter based; particle filter; moving targets; approach ... See more keywords
A Simplified Assimilation Scheme for a Coastal Wave Model Using Concepts of Particle Filter
Sign Up to like & getrecommendations! Published in 2019 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-019-02343-9
Abstract: In this work, observations of ocean wave height from satellite altimeters are assimilated into the coastal wave model simulating waves nearshore (SWAN) operating in the Indian coastal waters. The study has two distinctive features. The… read more here.
Keywords: assimilation; wave; particle filter; coastal wave ... See more keywords
Joint Parameter and State Estimation Based on Marginal Particle Filter and Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0721-4
Abstract: In this paper, a method for the dual estimation is proposed. This approach combines extended marginal particle filter (EMPF) with particle swarm optimization (PSO) for simultaneous estimation of state and parameter values in nonlinear stochastic… read more here.
Keywords: state; estimation; particle filter; particle swarm ... See more keywords
A Kalman particle filter for online parameter estimation with applications to affine models
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-021-09239-3
Abstract: In this paper we address the problem of estimating the posterior distribution of the static parameters of a continuous-time state space model with discrete-time observations by an algorithm that combines the Kalman filter and a… read more here.
Keywords: filter; estimation; posterior distribution; particle filter ... See more keywords
Slam algorithm for multi-robot communication in unknown environment based on particle filter
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03020-3
Abstract: To solve the SLAM (simultaneous localization and map building) of mobile robots, a multi-robot SLAM algorithm based on particle filter for communication in unknown environment is proposed. In the standard particle filter, the incremental map… read more here.
Keywords: multi robot; particle filter; algorithm; slam ... See more keywords
A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2016.12.133
Abstract: Abstract Obtaining accurate parameters, state of charge (SoC) and capacity of a lithium-ion battery is crucial for a battery management system, and establishing a battery model online is complex. In addition, the errors and perturbations… read more here.
Keywords: adaptive particle; particle filter; model; battery ... See more keywords
A framework for state-of-charge and remaining discharge time prediction using unscented particle filter
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.114324
Abstract: As a typical complex system, the lithium-ion battery system is characterized by strong coupling and nonlinearity, which brings great challenges to its modeling, state estimation, and control. The modeling and state estimation especially the state-of-charge… read more here.
Keywords: state; unscented particle; particle filter; filter ... See more keywords
Lung effects of 7- and 28-day inhalation exposure of rats to emissions from 1st and 2nd generation biodiesel fuels with and without particle filter - The FuelHealth project.
Sign Up to like & getrecommendations! Published in 2019 at "Environmental toxicology and pharmacology"
DOI: 10.1016/j.etap.2019.01.005
Abstract: Increased use of 1st and 2nd generation biofuels raises concerns about health effects of new emissions. We analyzed cellular and molecular lung effects in Fisher 344 rats exposed to diesel engine exhaust emissions (DEE) from… read more here.
Keywords: lung effects; exposure; particle filter; day ... See more keywords
Real-time aging trajectory prediction using a base model-oriented gradient-correction particle filter for Lithium-ion batteries
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Power Sources"
DOI: 10.1016/j.jpowsour.2019.227118
Abstract: Abstract Predicting batteries' future degradation is essential for developing durable electric vehicles. The technical challenges arise from the absence of full battery degradation model and the inevitable local aging fluctuations in the uncontrolled environments. This… read more here.
Keywords: model oriented; model; base model; particle filter ... See more keywords