Application of Magnetorheological Damper Semi-Active Control Based on Artificial Neural Networks

Abstract:

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Uncertainty for the building structure and nonlinear, this simulation of a multi-storey structure under earthquake is presented based on the BP neural network and system identification, controller will be built to effectively reduce the structural response, and to strengthen the unique damper performance.

Info:

Periodical:

Advanced Materials Research (Volumes 171-172)

Edited by:

Zhihua Xu, Gang Shen and Sally Lin

Pages:

654-658

DOI:

10.4028/www.scientific.net/AMR.171-172.654

Citation:

D. K. Yue and Q. Wang, "Application of Magnetorheological Damper Semi-Active Control Based on Artificial Neural Networks", Advanced Materials Research, Vols. 171-172, pp. 654-658, 2011

Online since:

December 2010

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Price:

$35.00

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