FlexRay Vehicle Network Predictive Control Based on Neural Network

摘要：

　　We propose a design method of FlexRay vehicle network forecasting control based on the neural network to solve the security and reliability of FlexRay network control system,where the control performance and stability of the system are reduced when transmiting data under heavy load,by sampling the working state of the vehicle network at the present time to predict the next-time network state,and adapting to the dynamic load in the vehicular network system by on-line adaptive workload adjustment.The method used the nonlinear neural network model to predict the performance of the future model.The controller calculated the control input and optimized the performance of the next-time network model.The simulation results from the Matlab/Simulink showed that the neural network predictive control had good learning ability and adaptability.It could improve the performance of FlexRay vehicle network control system.

作者: LI Huan LI Chao

作者单位: High school of Xian University of Science and Technology Xian,China Guizhou Normal University Gui Yang,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-4

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）