Neural networks for decentralized control of a cable-stayed bridge

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发表刊物：

ASCE Journal of Bridge Engineering

关键字：

neural nets; structural engineering; earthquakes; deformation;...

摘要：

The system identification and vibration control of a cable-stayed bridge are considered difficult to achieve due to the bridges structural complexity and system uncertainties. In this paper, based on the concept of decentralized information structures, a decentralized, nonparametric identification and control algorithm with neural networks is proposed for the purpose of suppressing the vibration of a documented six-cable-stayed bridge model induced by earthquake excitations...

论文类型：

期刊论文

文献类型：

卷号：

期号：

页面范围：

229-236

是否译文：

否

CN号：

null

发表时间：

2003-07-01

第一作者：

许斌

合写作者：

吴智深,Koichi Yokoyama

附件：

j-9NeuralNetworksforDecentralizedControlofCable-StayedBridge.pdf

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