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通过对发动机的工作及现有系统辨识特点的分析，提出使用神经网络非线性系统辨识的理论与方法对用于自动操纵车辆的发动机操纵特性场进行建模，并以国产CA6102汽油机为例，给出了实验及辨识的计算机仿真结果。
Based on the analysis of the work of the engine and the characteristics of the existing system identification, the theory and method of nonlinear system identification based on neural network are proposed to model the engine operating characteristic field for the automatic vehicle control. Taking the domestic CA6102 gasoline engine as an example, Out of the experimental and identification of the computer simulation results.