摘要
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 engine operation and the characteristics of traditional system i-dentification, the theory and method of applying neural network nonlinear system identification in modelligthe operating field of an automatically - controlled vehicle engine are presented. The experiment and com-puter simulation results of identification have been shown with Model CA6102 gasoline engine as example.
出处
《内燃机工程》
EI
CAS
CSCD
北大核心
1999年第1期11-13,20,共4页
Chinese Internal Combustion Engine Engineering
基金
中国博士后科学基金
关键词
模型
非线性系统
识别
操纵性
发动机
神经网络
Neural networks Model Nonlinear system Identification Operating characteristic Engine
