Results 151 to 160 of about 2,319,042 (224)
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Current Tracking Adaptive Control of Brushless DC Motors
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García +3 more
wiley +1 more source
High-precision and low-depth quantum algorithm design for eigenstate problems. [PDF]
Sun J, Zeng P, Gur T, Kim MS.
europepmc +1 more source
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Analyzing the mahakam river water quality using the geographically weighted panel regression model. [PDF]
Fauziyah ZN +4 more
europepmc +1 more source
Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley +1 more source
A Study on a Low-Cost IMU/Doppler Integrated Velocity Estimation Method Under Insufficient GNSS Observation Conditions. [PDF]
Wang Y, Zhang H, Li K, Xu H, Chen Y.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A sparse wavelength aware learning framework for robust FSO channel estimation. [PDF]
Senthilkumar S +3 more
europepmc +1 more source
Excellent combinations of strength and impact toughness are obtained in a bilayer composite of high‐strength carbide‐free bainitic (CFB) steel and high‐ductility twinning‐induced plasticity (TWIP) steel. The composite absorbs energy at small strains when the notch is placed on the TWIP side and at high strains when the notch is placed on the CFB side ...
Kendra Hawke +5 more
wiley +1 more source

