Results 41 to 50 of about 20,755 (208)
Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters
The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital filter in the Residue Number System and a procedure of developed ...
Dmitrii Kaplun +4 more
doaj +1 more source
Joint Actuator and Sensor Fault Diagnosis in Wind Turbine Systems
ABSTRACT This paper presents a fault diagnosis method for wind turbine systems that can simultaneously detect and estimate both actuator and sensor faults. Unlike previous studies that treat these faults separatelyand focus mainly on pitch angle‐related variables, our study recognizes the interdependence between actuator and sensor faults and expands ...
Evi Elisa Ambarita +2 more
wiley +1 more source
Improving the Accuracy of Static Relative GPS Positioning using Genetic Algorithm [PDF]
Over the years, the Global Positioning System (GPS) has evolved to become an important navigational and positional system and is widely used across the world.
Farazdak Rafeek Yasien
doaj +1 more source
Full-duplex unmanned aerial vehicle (UAV) communication systems are characterized by mobility, so the self-interference (SI) channel characteristics change over time constantly.
Lu Tian, Chenrui Shi, Zhan Xu
doaj +1 more source
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares
This paper presents subspace of information forgetting recursive least squares (SIFt-RLS), a directional forgetting algorithm which, at each step, forgets only in row space of the regressor matrix, or the \textit{information subspace}. As a result, SIFt-RLS tracks parameters that are in excited directions while not changing parameter estimation in ...
Lai, Brian, Bernstein, Dennis S.
openaire +2 more sources
Abstract Low‐frequency oscillations (LFOs) remain a major obstacle to maintaining stable dynamic performance in power systems with high levels of renewable energy integration. In particular, inter‐area LFOs have emerged as a critical concern in large, interconnected grids.
Linglin Meng +10 more
wiley +1 more source
An Extended Kalman Filter Design for State-of-Charge Estimation Based on Variational Approach
State of charge (SOC) is a very important variable for using batteries safely and reliably. To improve the accuracy of SOC estimation, a novel variational extended Kalman filter (EKF) technique based on least square error method is herein provided by ...
Ziheng Zhou, Chaolong Zhang
doaj +1 more source
To handle nonlinearity and feature coupling, a data‐driven aging model is proposed, employing dual Gaussian Process Regressions and transfer learning to enhance model efficiency and accuracy. Adaptive filtering refines the model by integrating aging features and output capacity, resulting in a closed‐loop data fusion framework for SOH estimation ...
Zhiqiang Lyu +3 more
wiley +1 more source
Ultra‐thin, tunable bandpass filters are a pathway to realizing mid‐infrared spectrometers that are compact, low power, and performant. The authors elicit 141 nanometres of passband tunability in the mid‐infrared in silicon on sapphire zero‐contrast gratings by exploiting silicon's high thermo‐optic coefficient.
Benjamin J. Russell +3 more
wiley +1 more source
Synthesis of Adaptive Antenna Array using Exponentially Weighted Recursive Least Square Algorithm
Objective: Beam shaping is a powerful means to increase the capacity of antenna system in wireless communication for better transmission and reception of signal. Methods /Analysis: In this paper, an adaptive array arrangement is developed to improve beam
P. Glaretsubin +2 more
semanticscholar +1 more source

