Third , using fuzzy logic , a six factors adjustable vehicle model is made for study on handling behavior of driver - vehicle - environment closed - loop system . the model has more advantages than traditional vehicle model using mathematic theory 第三，在汽车- - -驾驶员- - -环境闭环系统研究中，基于模糊逻辑理论，建立了通用的六因子调整（自适应）模糊汽车模型。
And last , a car model is studied . a controller using thoeries and method established in this paper is bulit to control the car model . finally the control result is given , as well as the resource code implemented in matlab 首先对这个具体模型的多个目标做了定义与分析，然后用本文建立的方法构造出了控制算法的尸areto规则基，并设计了该汽车模型的模糊控制算法。
When the model running on the virtual road , it can show the vertical , lateral and pitching movement of the vehicle body and driver , and the rotation movement of the six wheels , these movements were controlled by model analysis data 汽车模型在虚拟道路试验场中行驶时，能够体现车厢(包括驾驶室)的垂向运动、横向运动和俯仰运动；驾驶员的垂向运动、横向运动和俯仰运动，六个轮胎的旋转运动。
In this paper , designing of desktop vr , developing of a software platform on virtual experiment , presenting of vehicle model and driver control model and compa ring the virtual experiment with the real experiments are carried out for the virtual experiment 围绕着汽车操纵稳定性的虚拟试验技术的研究，本文在设计与建立虚拟现实系统、开发虚拟试验平台、建立模糊汽车模型和模糊神经网络驾驶员控制模型、试验与仿真结果的对比等方面进行了探索性的工作。
In order to get a satisfied digital automotive model , some other optimizd methods are brought into effect because sometimes the optimized data processed by mathematics method is not good enough to get satisfied surface and at the same time there are some breaking surface in the model which is disadvantage to make a smooth surface 当通过利用数学模型对测量数据进行优化仍难以获取良好的反求曲面，或者汽车模型上的一些曲面突变特征不利于光顺曲面的建立时，需要采取其他的优化措施对测量数据进行二次优化。
