Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5576
Abstract: This article investigates the parameter estimation problems of Hammerstein‐Wiener nonlinear systems with non‐uniform sampling. The over‐parameterization identification model for the Hammerstein‐Wiener nonlinear systems is established from the non‐uniformly sampled input‐output data. By applying the gradient… read more here.
Keywords: hammerstein wiener; nonlinear systems; forgetting factor; wiener nonlinear ... See more keywords
A multi-innovation with forgetting factor based EKF-SLAM method for mobile robots
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DOI: 10.1108/aa-01-2020-0002
Abstract: The purpose of this paper is to explore a multi-innovation with forgetting factor-based EKF-SLAM (FMI-EKF-SLAM) algorithm to solve the error increasing problem, caused by the Extended Kalman filtering (EKF) violating the local linear assumption in… read more here.
Keywords: multi innovation; forgetting factor; slam; ekf slam ... See more keywords
Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2805280
Abstract: Rolling element bearing is a critical component in many mechanical systems in view of its critical functionality. One of the major issues industries face today is the failure of bearings, which results in catastrophic consequences.… read more here.
Keywords: degradation; forgetting factor; variable forgetting; arma model ... See more keywords
Iterative learning control realized using an iteration-varying forgetting factor based on optimal gains
Sign Up to like & getrecommendations! Published in 2021 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331221996507
Abstract: Iterative learning control with forgetting factor (ILCFF) is widely used in control engineering. However, choosing the optimal parameters of ILCFF to improve system-output characteristics has been a challenging issue for controller designers. This paper proposes… read more here.
Keywords: forgetting factor; system; iterative learning; factor ... See more keywords
Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
Sign Up to like & getrecommendations! Published in 2017 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-017-0490-z
Abstract: In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for distributed parameter and spectrum estimation in sensor networks. For the… read more here.
Keywords: forgetting factor; recursive least; least squares; variable forgetting ... See more keywords
A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares
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DOI: 10.3390/en11061358
Abstract: For model-based state of charge (SOC) estimation methods, the battery model parameters change with temperature, SOC, and so forth, causing the estimation error to increase. Constantly updating model parameters during battery operation, also known as… read more here.
Keywords: identification; forgetting factor; battery; soc estimation ... See more keywords
Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12122242
Abstract: With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a… read more here.
Keywords: equivalent circuit; battery; forgetting factor; circuit ... See more keywords