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,...

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Bibliographic Details
Main Authors: Laflamme, Simon (Contributor), Connor, Jerome J. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor)
Format: Article
Language:English
Published: Society of Photo-Optical Instrumentation Engineers, 2010-03-16T20:46:32Z.
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