Application of self-tuning Gaussian networks for control of civil structures equipped with magnetorheological dampers

Application of self-tuning Gaussian networks for control of civil structures equipped with magnetorheological dampers

This paper proposes an adaptive neural network composed of Gaussian radial functions for mapping the behavior of civil structures controlled with magnetorheological dampers. The online adaptation takes into account the limited force output of the semi-active dampers using a sliding mode controller,...

书目详细资料
Main Authors:	Laflamme, Simon, Connor, Jerome J.
其他作者:	Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
格式:	文件
语言:	en_US
出版:	Society of Photo-Optical Instrumentation Engineers 2010
在线阅读:	http://hdl.handle.net/1721.1/52638 https://orcid.org/0000-0002-2262-9139 https://orcid.org/0000-0001-5666-3215

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