Results 1 to 10 of about 218 (68)
A Novel Method for Online Extraction of Small-Angle Scattering Pulse Signals from Particles Based on Variable Forgetting Factor RLS Algorithm [PDF]
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
doaj +2 more sources
Efficient Hardware Realization of a New Variable Regularized PAST Algorithm With Multiple Deflation [PDF]
This paper proposes a new variant of the projection approximation subspace tracking (PAST) algorithm with multiple deflation (MD) and its efficient hardware architecture.
Wei Zhao +2 more
doaj +3 more sources
Adaptive Notch Filter for Piezo-Actuated Nanopositioning System via Position and Online Estimate Dual-Mode [PDF]
Due to the excellent advantages of high speed, high precision, and driving force, piezoelectric actuators nanopositioning systems have been widely used in various micro/nanomachining fields.
Chengsi Huang, Hongcheng Li
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Methods for state of health estimation for lithium-ion batteries: An essential review [PDF]
Electric vehicles (EVs) are a practical and suitable choice for reducing the pollution rate caused by combustible engines of conventional cars. The lithium-ion batteries (LIB) serve as a support for energy storage in EVs owing to their benefits and ...
Rhdifa Houda +2 more
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To solve the problem of contour error (CE) arising from the dual‐axis coupling of the X–Y coordinate planar motor stage under reciprocating motion conditions in integrated circuit (IC) manufacturing, the following two perspectives are considered ...
Xiyou Chen +4 more
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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.
Zizhou Lao +5 more
doaj +1 more source
Online parameter identification for equivalent circuit model of lithium-ion battery [PDF]
Parameter identification is the most fundamental task for the model-based battery management system. However, there are some difficulties in completing this task since most of the existing methods require at least one known parameter or a time-consuming ...
Thi Diep, Nguyen, Trung, Nguyen Kien
core +3 more sources
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 ...
Ling Zhang +3 more
doaj +1 more source
A new regularized TVAR-based algorithm for recursive detection of nonstationarity and its application to speech signals [PDF]
This paper develops a new recursive nonstationarity detection method based on time-varying autoregressive (TVAR) modeling. A local likelihood estimation approach is introduced which gives more weights to observations near the current time instant but ...
Chan, SC, Chu, Y, Tsui, KM, Zhang, Z
core +1 more source
Recursive least square (RLS) algorithms are considered as a kind of accurate parameter identification method for lithium-ion batteries. However, traditional RLS algorithms usually employ a fixed forgetting factor, which does not have adequate robustness ...
Qiang Song, Yuxuan Mi, Wuxuan Lai
doaj +1 more source

