Results 1 to 10 of about 95,020 (173)
Absolute finite differences based variable forgetting factor RLS algorithm [PDF]
IET Signal Processing, 2022 Adaptive signal processing requires an efficient non‐stationarity detector. Most of the known non‐stationarity detection algorithms are based on residual statistics.
Slobodan Drašković +2 more
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A New State-Regularized QRRLS Algorithm With a Variable Forgetting Factor [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2012 This brief proposes a new state-regularized (SR) and QR-decomposition-based (QRD) recursive least squares (RLS) adaptive filtering algorithm with a variable forgetting factor (VFF). It employs the estimated coefficients as prior information to minimize the exponentially weighted observation error, which leads to reduced variance over a conventional RLS
Chu, YJ, Chan, SC
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A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable Forgetting Factor RLS Algorithm [PDF]
Sensors, 2021 The small-angle optical particle counter (OPC) can detect particles with strong light absorption. At the same time, it can ignore the properties of the detected particles and detect the particle size singly and more accurately.
Rongrui Zhang, Heng Zhao
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A Variable Regularized Recursive Subspace Model Identification Algorithm With Extended Instrumental Variable and Variable Forgetting Factor [PDF]
IEEE Access, 2020 This paper proposes a new smoothly clipped absolute deviation (SCAD) regularized recursive subspace model identification algorithm with square root(SR) extended instrumental variable (EIV) and locally optimal variable forgetting factor (LOFF).
Jian-Qiang Lin +2 more
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Parameter Identification of DOC Model Based on Variable Forgetting Factor Least Squares [PDF]
E3S Web of Conferences, 2022 In diesel engine after-treatment control technology, the accurate real-time control of Diesel Oxidation Catalyst (DOC) outlet temperature is an important topic.
Hua Taoyi +3 more
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电力工程技术, 2023 Power battery performance plays a pivotal role in the comprehensive performance of electric vehicles, and thus accurate identification of the parameters of the lithium-ion battery model is crucial for subsequent state-of-charge estimation and state-of ...
ZHU Weiping +3 more
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IEEE Access, 2021 The lithium-ion batteries of an electric vehicle belong to a high-voltage direct-current system. The high-voltage insulation performance of electric vehicles is very important for their safe operation.
Zhenbin Chen +5 more
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Variable Forgetting Factor LS Algorithm for Polynomial Channel Model [PDF]
ISRN Signal Processing, 2011 Variable forgetting factor (VFF) least squares (LS) algorithm for polynomial channel paradigm is presented for improved tracking performance under nonstationary environment. The main focus is on updating VFF when each time-varying fading channel is considered to be a first-order Markov process.
Kohli, Amit Kumar +2 more
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Energies, 2022 Accurate state of charge (SOC) plays a vital role in battery management systems (BMSs). Among several developed SOC estimation methods, the extended Kalman filter (EKF) has been extensively applied.
Deng Ma +4 more
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IEEE Access, 2021 This paper addresses the influence reduction of quantization and observation noises in a disturbance observer (DOB) technique. DOB is a disturbance estimation method that makes control systems robust.
Takashi Ohhira +2 more
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