DocumentCode
3233374
Title
Research of MR damper based on Artificial Neural Networks
Author
Bai, Shu Hong ; Wang, Qi
Author_Institution
Electr. & Electron. Eng., Chengdu Electromech. Coll., Chengdu, China
fYear
2011
fDate
27-29 May 2011
Firstpage
664
Lastpage
666
Abstract
Considering the structural uncertainty and nonlinearity, this paper presents a system identification method based on Artificial Neural Network(ANN), constructs neural network with a hidden layer, uses the error back propagation algorithm training, simulates a multi-layer structure In the dynamic response. Simulation results show that the identification structure of the neural network is valid.
Keywords
backpropagation; magnetorheology; neurocontrollers; shock absorbers; uncertain systems; vibration control; MR damper; artificial neural network; dynamic response; error back propagation algorithm training; multilayer structure simulation; structural uncertainty; system identification method; Artificial neural networks; Shock absorbers; Artificial Neural Networks (ANN); magnetorheological(MR) damper; semi-active control;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-485-5
Type
conf
DOI
10.1109/ICCSN.2011.6014354
Filename
6014354
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