Results 11 to 20 of about 8,393 (214)
Real-time fractional order system identification using recursive least squares method
Algerian Journal of Signals and Systems, 2020 In this paper, we address the problem of fractional order systems real-time identification based on recursive least squares technique. The fractional order model is approximated using the Charef Singularity function method and Grünwald numerical ...
Walid TOUIL +2 more
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Low-Complexity Recursive Least-Squares Adaptive Algorithm Based on Tensorial Forms
Applied Sciences, 2021 Modern solutions for system identification problems employ multilinear forms, which are based on multiple-order tensor decomposition (of rank one). Recently, such a solution was introduced based on the recursive least-squares (RLS) algorithm.
Ionuț-Dorinel Fîciu +3 more
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IEEE Access, 2023 This paper presents a data-driven adaptive steady state-integral-derivative (SS-ID) control algorithm that uses gradient descent and recursive least squares (RLS) with a forgetting factor.
Jeongwoo Lee, Kwangseok Oh
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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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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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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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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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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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Decision-Directed Recursive Least Squares MIMO Channels Tracking
EURASIP Journal on Wireless Communications and Networking, 2006 A new approach for joint data estimation and channel tracking for multiple-input multiple-output (MIMO) channels is proposed based on the decision-directed recursive least squares (DD-RLS) algorithm.
Karami Ebrahim, Shiva Mohsen
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