By using the collection data in training the neural network, this paper establishes the proper engine idle speed neural network model.
通过训练神经网络学习样本数据，建立了正确的发动机怠速神经网络模型。
This paper presents a nonlinear autoregressive exogenous (NARX) model to approximate dynamics of crankshaft speed with the mass of the idle feeding fuel and the spark advance.
本文采用一类非线性自回归模型(NARX)，描述怠速过程中怠速供油量、点火提前角与曲轴转速之间的关系。
The proceedings of idle speed are so complex that it is very difficult to design a good controller based on the mathematical model of gasoline engine idling condition.
由于发动机的怠速运转是非常复杂的一个过程，所以要在发动机怠速的数学模型的基础上来设计控制器是很困难的。
By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.
本文用已建立的发动机神经网络怠速模型，并采用DMC预测控制算法，完成了怠速控制的仿真研究。
The model of engine idle speed is the base of engine control.
发动机怠速模型是发动机怠速控制的基础。
Fuzzy control method has been used to study engine idle speed. This method has advantage in not making mathematical model for the controlled object.
在控制策略上运用了模糊控制策略进行怠速控制，这种方法的优点是不需要为控制目标建立精确的数学模型。
Fuzzy control method has been used to study engine idle speed. This method has advantage in not making mathematical model for the controlled object.
在控制策略上运用了模糊控制策略进行怠速控制，这种方法的优点是不需要为控制目标建立精确的数学模型。
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