Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
The Bouc–Wen hysteresis model has been extensively used to identify earthquake damage on civil structures where hysteretic behavior is expected. One of the challenging problems in the identification of Bouc–Wen parameters is overfitting, which is caused by too many nonphysical model parameters. Limi...
Saved in:
Main Authors: | Sung-Yong Kim, Jaemin Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/8822239 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An efficient Bouc & Wen approach for seismic analysis of masonry tower
by: Luca Facchini, et al.
Published: (2014-07-01) -
An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters
by: Yue Wang, et al.
Published: (2017-01-01) -
An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
by: Dazhang You, et al.
Published: (2020-01-01) -
Influence of Hysteresis on the Vibration Control of a Smart Beam with a Piezoelectric Actuator by the Bouc–Wen Model
by: Ting Zhang
Published: (2020-01-01) -
A New Adaptive Square-Root Unscented Kalman Filter for Nonlinear Systems with Additive Noise
by: Yong Zhou, et al.
Published: (2015-01-01)