Regularization-Based Dual Adaptive Kalman Filter for Identification of Sudden Structural Damage Using Sparse Measurements

Regularization-Based Dual Adaptive Kalman Filter for Identification of Sudden Structural Damage Using Sparse Measurements

This paper proposes a dual adaptive Kalman filter to identify parameters of a dynamic system that may experience sudden damage by a dynamic excitation such as earthquake ground motion. While various filter techniques have been utilized to estimate system’s states, parameters, input (force)...

Full description

Bibliographic Details
Main Authors: Se-Hyeok Lee, Junho Song
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
system identification
sudden damage
unscented kalman filter
dual adaptive filtering
regularization
particle swarm optimization
sparse measurements
Online Access:https://www.mdpi.com/2076-3417/10/3/850

Internet

https://www.mdpi.com/2076-3417/10/3/850

Similar Items