Results 21 to 30 of about 102,342 (297)
IEEE Access, 2019 This paper considers the parameter identification for a class of nonlinear stochastic systems with colored noise. We filter the input-output data by using an estimated noise transfer function and obtain two identification models, one containing the ...
Longjin Wang, Yan He
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Recursive least squares for online dynamic identification on gas turbine engines [PDF]
, 2016 Online identification for a gas turbine engine is vital for health monitoring and control decisions because the engine electronic control system uses the identified model to analyze the performance for optimization of fuel consumption, a response to ...
Nalianda, Devaiah +2 more
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A Recursive Least-Squares Algorithm for the Identification of Trilinear Forms
Algorithms, 2020 High-dimensional system identification problems can be efficiently addressed based on tensor decompositions and modelling. In this paper, we design a recursive least-squares (RLS) algorithm tailored for the identification of trilinear forms, namely RLS ...
Camelia Elisei-Iliescu +5 more
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Computer Assisted Surgery, 2019 Near infrared spectroscopy is the promising and noninvasive technique that can be used to detect the brain functional activation by monitoring the concentration alternations in the haemodynamic concentration.
Xin Liu +6 more
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Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis
IEEE Access, 2018 Kernel adaptive filtering (KAF) has gained widespread popularity among the machine learning community for online applications due to its convexity, simplicity, and universal approximation ability.
Haowen Zhou, Jinquan Huang, Feng Lu
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2-D iteratively reweighted least squares lattice algorithm and its application to defect detection in textured images [PDF]
, 2006 In this paper, a 2-D iteratively reweighted least squares lattice algorithm, which is robust to the outliers, is introduced and is applied to defect detection problem in textured images.
Ercil, Aytul +7 more
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A fast algorithm for LR-2 factorization of Toeplitz matrices [PDF]
, 1995 In this paper a new order recursive algorithm for the efficient −1 factorization of Toeplitz matrices is described. The proposed algorithm can be seen as a fast modified Gram-Schmidt method which recursively computes the orthonormal columns i, i = 1,2,
Glentis, George-Othon
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International Journal of Advanced Robotic Systems, 2020 An accurate model is important for the engineer to design a robust controller for the autonomous underwater vehicle. There are two factors that make the identification difficult to get accurate parameters of an AUV model in practice.
Zhang Huajun +3 more
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Recursive weighted least squares estimation algorithm based on minimum model error principle
Defence Technology, 2021 Kalman filter is commonly used in data filtering and parameters estimation of nonlinear system, such as projectile's trajectory estimation and control. While there is a drawback that the prior error covariance matrix and filter parameters are difficult ...
Xiaoyun Lei, Zhian Zhang
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Harmonic regressor: Robust solution to least-squares problem [PDF]
, 2013 A new robust and computationally efficient solution to least-squares problem in the presence of round-off errors is proposed. The properties of a harmonic regressor are utilized for design of new combined algorithms of direct calculation of the parameter
Stotsky, Alexander
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