节点文献
神经网络非线性系统辨识在发动机操纵特性场建模中的应用研究
Application of Neural Network Nonlinear System Identification in Modeling the Operating Field of the Engine
【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。
【Abstract】 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.
【关键词】 网络;
模型;
非线性系统;
识别;
操纵性;
发动机;
【Key words】 Neural networks Model Nonlinear system Identification Operating characteristic Engine;
【Key words】 Neural networks Model Nonlinear system Identification Operating characteristic Engine;
【基金】 中国博士后科学基金
- 【文献出处】 内燃机工程 ,CHINESE INTERNAL COMBUSTION ENGINE ENGINEERING , 编辑部邮箱 ,1999年01期
- 【分类号】TK41
- 【被引频次】7
- 【下载频次】124