Paper Title:
Research on Active Suspension System Based on BP and RBF Network Algorithm
  Abstract

A six degrees of freedom half body vehicle suspension system is presented in the paper .The Back Propagation neural network algorithm and the Radial-Basis Function network algorithm is adopted to control the suspension system. With the aid of software Matlab/Simulink , the simulation model is obtained. A great deal of simulation work is done. Simulation results demonstrate that both the designed radius basis function neural network and the back propagation neural network work well for the proposed vehicle suspension model in the paper .

  Info
Periodical
Advanced Materials Research (Volumes 230-232)
Edited by
Ran Chen and Wenli Yao
Pages
149-153
DOI
10.4028/www.scientific.net/AMR.230-232.149
Citation
C. Y. Tang, G. Y. Zhao, Y. M. Zhang, X. Y. E, "Research on Active Suspension System Based on BP and RBF Network Algorithm", Advanced Materials Research, Vols. 230-232, pp. 149-153, 2011
Online since
May 2011
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Price
$32.00
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