Results 51 to 60 of about 153,055 (297)
A Recursive Restricted Total Least-Squares Algorithm
We show that the generalized total least squares (GTLS) problem with a singular noise covariance matrix is equivalent to the restricted total least squares (RTLS) problem and propose a recursive method for its numerical solution. The method is based on the generalized inverse iteration. The estimation error covariance matrix and the estimated augmented
Rhode, Stephan +3 more
openaire +5 more sources
Bioinspired Adaptive Leg‐Claw Enables Robust Perching and Grasping for UAVs
Inspired by owl limb morphology and bat roosting behavior, this study presents a bioinspired adaptive leg‐claw mechanism that enables UAVs to perform robust and versatile perching and grasping. The design integrates a four‐link tibial structure, tension‐driven deformable feet, and active control, enabling stable perching on various branches and ...
Tianyu Cheng +6 more
wiley +1 more source
A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis [PDF]
This paper studies the problem of robust adaptive filtering in impulsive noise environment using a recursive least M-estimate algorithm (RLM). The RLM algorithm minimizes a robust M-estimator-based cost function instead of the conventional mean square ...
Chan, SC, Zou, YX
core +1 more source
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan +4 more
wiley +1 more source
Power system frequency estimation using linear and nonlinear techniques [PDF]
In an electrical power system frequency is an important parameter. The frequency of operation is not constant but it varies depending upon the load conditions.
Shinde, N
core
Plant identification via adaptive combination of transversal filters [PDF]
For least mean-square (LMS) algorithm applications, it is important to improve the speed of convergence vs the residual error trade-off imposed by the selection of a certain value for the step size.
Arenas García, Jerónimo +3 more
core +2 more sources
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Nonlinear Effects of the LMS Adaptive Predictor for Chirped Input Signals
This paper investigates the nonlinear effects of the Least Mean Square (LMS) adaptive predictor. Traditional analysis of the adaptive filter ignores the statistical dependence among successive tap-input vectors and bounds the performance of the adaptive
Han Jun, Zeidler James R, Ku Walter H
doaj +1 more source
A MMRAC Controller Applied to Encoderless Speed Control Induction Motor Drives
This paper proposes a Modified Model Reference Adaptive Controller (MMRAC) for a speed sensorless induction motor drive. MMRAC is obtained by modifying the control law U of a Robust Model Reference Adaptive Controller (RMRAC). The MMRAC is used to assure
Helder Tavares Câmara +1 more
doaj +1 more source
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

