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。
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.
开发了基于扭矩的控制模型，包括传感器信号处理模型、扭矩模型、怠速模型、节气门模型、空气系统模型、起动控制模型等。
A control model based on torque was developed, including signal processing model, torque model, idle model, throttle model, airflow model, start control model and so on.
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.
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。
By using the collection data in training the neural network, this paper establishes the proper engine idle speed neural network model.
首先，根据汽车动力传动系统的扭振当量原则与方法，分别建立了怠速工况与正常行驶工况下发动机、双质量飞轮以及传动系统的无阻尼多自由度扭振当量模型。
First of all, the two undamped multi-freedom torsional vibration models of DMF under idling and driving condition are built based on the principles of vehicle power train equivalent torsional model.
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。
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.
建立了基于悬置元件怠速工况下动刚度的发动机悬置系统MATLAB力学模型。
A mechanics model for engine mount system is established with MATLAB based on dynamic stiffness of engine mounts in idle condition.
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。
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。
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.
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