Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network

We propose an adaptive gain scheduled semiactive control method using an artificial neural network for structural systems subject to earthquake disturbance. In order to design a semiactive control system with high control performance against earthquakes with different time and/or frequency propertie...

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Bibliographic Details
Main Authors: Kazuhiko Hiramoto, Taichi Matsuoka, Katsuaki Sunakoda
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/3762784
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