Weight-Varying Neural Network for Parameter Identification of Automatic Vehicle

摘要：

A Bond Graph model is built for the steering system of automatic vehicle and a set of model equations are derived for further analysis purpose. For identifying several uncertain parameters, an integrative approach that combine least square method with Bp Neural Network algorithm (NN) is proposed, based on features of NN algorithm, two key improvements are bring into the training method of Bp NN: taking the identification result of least square method as initial weight value of network training, and introducing weight factor to improve the convergence property of Bp NN. The effectiveness of proposed approach is verified through experiment, and the result indicates that the reformatory Bp NN algorithm has higher identification accuracy.

关键词： Automatic Vehicle Bond Graph Neural Network Parameter Identification

作者: Huang lei Shi Yikai Yuan Xiaoqing Danwei Wang Yu Ming

作者单位: School of Mechanical Engineering,Northwestern Polytechnical University,Xi’an, China School of Electr School of Mechanical Engineering,Northwestern Polytechnical University,Xi’an, China School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

会议类型: 国际会议

会议名称: IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)

会议地点: 北京

会议语种:英文

页码: 766-771

在线出版日期: 2012-07-25（万方平台首次上网日期，不代表论文的发表时间）