Multi-parameter identification of earthquake simulation shaking table based on BP neural network

Multi-parameter identification of earthquake simulation shaking table based on BP neural network

Since the model parameters of the shaking table exist in a non-linear form, this leads to distortion of the reproduced waveforms and can even lead to bias in the ground vibration test results. Therefore, the selection of the controller is particularly critical. Multi-variable (MVC) controllers are o...

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Bibliographic Details
Main Authors: Chunhua Gao, Cun Li, Mengyuan Qin, Yanping Yang, Zihan Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Physics
Subjects:
shaking table
three-parameter control
multi-parameter control
BP neural network algorithm
parameter identification
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2024.1309029/full

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