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Driver Model of Steering Direction Control for Automobiles
作者姓名:LI Xing-quan  HE Yan-song  XU Zhong-ming  ZHANG Zhi-fei
作者单位:College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
摘    要:Creating a suitable driver model is one of the most important parts in the closed-loop system of driver-vehicle-road.Several kinds of driver models have been created based on the traditional control theories such as transfer function,optimization control and the compensation control.But owing to the driver's characteristics of nonlinear and time-variable,it's difficult for those proposed driver models to mimic drivers' action.While accounting for the inherent manual control characteristics and limitations of the mankind,the intelligent control methods have been applied in creating driver models based on the fuzzy control,neural networks control and fuzzy-neural networks control theory.

关 键 词:driver  model    fuzzy  control    neural  networks    fuzzy-neural  networks
收稿时间:2005/11/15 0:00:00
修稿时间:2005/11/15 0:00:00

Driver Model of Steering Direction Control for Automobiles
LI Xing-quan,HE Yan-song,XU Zhong-ming,ZHANG Zhi-fei.Driver Model of Steering Direction Control for Automobiles[J].Storage & Process,2006(4):5-8.
Authors:LI Xing-quan  HE Yan-song  XU Zhong-ming  ZHANG Zhi-fei
Institution:College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
Abstract:Creating a suitable driver model is one of the most important parts in the closed-loop system of driver-vehicle-road.Several kinds of driver models have been created based on the traditional control theories such as transfer function,optimization control and the compensation control.But owing to the driver's characteristics of nonlinear and time-variable,it's difficult for those proposed driver models to mimic drivers' action.While accounting for the inherent manual control characteristics and limitations of the mankind,the intelligent control methods have been applied in creating driver models based on the fuzzy control,neural networks control and fuzzy-neural networks control theory.
Keywords:driver model  fuzzy control  neural networks  fuzzy-neural networks
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