Neural Networks Learn Stable Physics-Based Models Straight From Data
Researchers in Stuttgart have introduced a machine-learning framework that identifies stable, passive port-Hamiltonian models directly from data, validated on systems ...
Tag: system identification
From Fourier to Deep Learning: How Bridge Health Monitoring Signals Are Evolving
A new review of 201 studies traces how bridge structural health monitoring evolved from classical Fourier and wavelet analysis to ...
Flight Data Meets Its Match: Smarter Look-up Tables Tame the Bias-Variance Trade-off in Aerodynamic Models
Researchers in South Korea have developed a nested optimization method that builds multivariable look-up tables for aerodynamic discrepancy models from ...
Smart Temperature Control Brings Friction Stir Welding to Superalloy Inconel 718
Researchers combined finite element simulation, statistical optimization, and PID and model predictive control to keep weld temperatures stable during friction ...
Smart Algorithm Tunes Itself to Master Aircraft Fuel Pressure Control
Researchers have replaced trial-and-error tuning of a recursive least squares identifier with a hill-climbing algorithm and a new error metric, ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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