Results 1 to 10 of about 49,494 (186)

A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography [PDF]

Sensors, 2020
This paper presents a novel adaptive recursive least squares filter (ARLSF) for motion artifact removal in the field of seismocardiography (SCG). This algorithm was tested with a consumer-grade accelerometer.
Shuai Yu, Sheng Liu
doaj   +3 more sources

Identification by Recursive Least Squares With Kalman Filter (RLS-KF) Applied to a Robotic Manipulator

IEEE Access, 2021
The field of robotics has grown a lot over the years due to the increasing necessity of industrial production and the search for quality of industrialized products.
Darielson A. De Souza, Josias G. Batista, Felipe J. S. Vasconcelos, Laurinda L. N. Dos Reis, Gabriel F. Machado, Jonatha R. Costa, Jose N. N. Junior, Jose L. N. Silva, Clauson S. N. Rios, Antonio B. S. Junior   +9 more
doaj   +2 more sources

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

Energies, 2019
This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active power filter (SAPF) control.
Radek Martinek, Jaroslav Rzidky, Rene Jaros, Petr Bilik, Martina Ladrova   +4 more
doaj   +2 more sources

Calibrationless Bimanual Deformable Linear Object Manipulation With Recursive Least Squares Filter

IEEE Access
In recent years, the domain of robotic manipulation has broadened its focus from rigid objects to more complex tasks involving deformable objects. Compared to rigid bodies, the model-based manipulation of deformable objects requires online adaptation of ...
Amadeusz Szymko, Piotr Kicki, Krzysztof Walas   +2 more
doaj   +2 more sources

Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems With Colored Noise Based on the Auxiliary Model and Data Filtering

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
doaj   +2 more sources

Estimating Bus Mass Using a Hybrid Approach: Integrating Forgetting Factor Recursive Least Squares with the Extended Kalman Filter [PDF]

Sensors
The vehicle mass is a crucial state variable for achieving safe and energy-efficient driving, as it directly impacts the vehicle’s power performance, braking efficiency, and handling stability.
Jingyang Du, Qian Wang, Xiaolei Yuan
doaj   +2 more sources

Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter

Energies, 2017
State of charge (SOC) estimation is the core of any battery management system. Most closed-loop SOC estimation algorithms are based on the equivalent circuit model with fixed parameters. However, the parameters of the equivalent circuit model will change
Bizhong Xia, Zizhou Lao, Ruifeng Zhang, Yong Tian, Guanghao Chen, Zhen Sun, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang, Huawen Wang   +10 more
doaj   +2 more sources

A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares

Energies, 2018
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, Bizhong Xia, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang   +5 more
doaj   +2 more sources

Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram

Sensors, 2022
The electrohysterogram (EHG) is the uterine muscle electromyogram recorded at the abdominal surface of pregnant or non-pregnant woman. The maternal respiration electromyographic signal (MR-EMG) is one of the most relevant interferences present in an EHG.
Daniela Martins, Arnaldo Batista, Helena Mouriño, Sara Russo, Filipa Esgalhado, Catarina R. Palma dos Reis, Fátima Serrano, Manuel Ortigueira   +7 more
doaj   +1 more source

Performance Comparison of the Batch Filter Based on the Unscented Transformation and Other Batch Filters for Satellite Orbit Determination [PDF]

Journal of Astronomy and Space Sciences, 2009
The main purpose of the current research is to introduce the alternative algorithm of the non-recursive batch filter based on the unscented transformation in which the linearization process is unnecessary.
Eunseo Park, Sang-Young Park, Kyu-Hong Choi   +2 more
doaj   +1 more source