Results 11 to 20 of about 102,342 (297)
UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES [PDF]
The idea is to create a self-learning Minimal Learning Machine (MLM) model that is computationally efficient, easy to implement and performs with high accuracy. The study has two hypotheses.
A.-M. Raita-Hakola, I. Pölönen
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Recursive N-way partial least squares for brain-computer interface. [PDF]
In the article tensor-input/tensor-output blockwise Recursive N-way Partial Least Squares (RNPLS) regression is considered. It combines the multi-way tensors decomposition with a consecutive calculation scheme and allows blockwise treatment of tensor ...
Andrey Eliseyev, Tetiana Aksenova
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Adaptive State Feedback Control Method Based on Recursive Least Squares
This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical
Mehmet Latif Levent, Omer Aydogdu
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A Recursive Least-Squares with a Time-Varying Regularization Parameter
Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some applications, regularization of the least-squares provides robustness and enhances performance ...
Maaz Mahadi +3 more
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Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from sensors, which degrades the modeling ...
Xinghao Du +6 more
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Adaptive Recursive Least Squares Denoising in Ventricular Fibrillation ECG Signals
Cardiac arrest is a fatal and urgent disease in humans. A high‐quality electrocardiogram (ECG) has a positive guide to the success of defibrillation and resuscitation.
Youde Ding +6 more
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Low-Complexity Recursive Least-Squares Adaptive Algorithm Based on Tensorial Forms
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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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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Recursive Least Squares with Linear Constraints [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, Yunmin, Li, X. Rong
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Block row recursive least-squares migration [PDF]
Recursive estimates of large systems of equations in the context of least-squares fitting is a common practice in different fields of study. For example, recursive adaptive filtering is extensively used in signal processing and control applications.
Kazemi, Nasser, Sacchi, Mauricio
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