Results 31 to 40 of about 137,583 (290)
Intelligent Learning Algorithms for Active Vibration Control [PDF]
, 2007 YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P. +2 more
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Identification of nonlinear systems based on mathematical physical analysis and least square method [PDF]
Acta Montanistica Slovaca, 2003 The paper deals with the identification of nonlinear systems described by the nonlinear difference equations of the certain type. These equations are known in literature dealing with the systems modelling by means of neural network as the models of the ...
Drábek Oldøich, Taufer Ivan
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Energies, 2019 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 focus of ...
Xiangdong Sun +4 more
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Recursive Least Squares Filtering Algorithms for On-Line Viscoelastic Characterization of Biosamples [PDF]
, 2018 The mechanical characterization of biological samples is a fundamental issue in biology and related fields, such as tissue and cell mechanics, regenerative medicine and diagnosis of diseases.
Aceto, Maria +3 more
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Jixie chuandong, 2021 Gear is widely applied in mechanical transmission systems. Gear meshing stiffness is a time varying parameter because of the periodical changing of the numbers of teeth involved in meshing process，the meshing vibration is generated during gear meshing ...
Maohui Wang +4 more
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A robust M-estimate adaptive equaliser for impulse noise suppression [PDF]
, 1999 In this paper, a FIR adaptive equaliser for impulse noise suppression is proposed. It is based on the minimization of an M-estimate objective function which has the ability to ignore or down-weight a large error signal when it exceeds certain thresholds.
Chan, SC, Ng, TS, Zou, Y
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Large-scale wave-front reconstruction for adaptive optics systems by use of a recursive filtering algorithm [PDF]
, 2005 We propose a new recursive filtering algorithm for wave-front reconstruction in a large-scale adaptive optics system. An embedding step is used in this recursive filtering algorithm to permit fast methods to be used for wave-front reconstruction on an ...
Britton, Matthew +2 more
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Efficient Recursive Least Squares Methods forthe CMAC Neural Network
International Journal of Machine Learning and Computing, 2011 The Cerebellar Model Articulation Controller (CMAC) neural network is an associative memory that is biologically inspired by the cerebellum, which is found in the brains of animals. The standard CMAC uses the least mean squares algorithm to train the weights. Recently, the recursive least squares (RLS) algorithm was proposed as a superior algorithm for
C. Laufer, G. Coghill
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A robust M-estimate adaptive filter for impulse noise suppression [PDF]
, 1999 In this paper, a robust M-estimate adaptive filter for impulse noise suppression is proposed. The objective function used is based on a robust M-estimate. It has the ability to ignore or down weight large signal error when certain thresholds are exceeded.
Chan, SC, Ng, TS, Zou, Y
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Grey Box Modeling of Gas Temperature for a High-Speed and High-Temperature Heat-Airflow Test System
Applied Sciences, 2022 Aiming at a problem that it is difficult for accurately obtaining the mathematical model of a gas temperature for a high-speed, high-temperature heat-airflow test system, a grey box modeling method combining first principle of modeling, recursive least ...
Yingfang Xue, Chaozhi Cai, Hui Xu
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