An automatic guidance method for tractor was developed based on a vehicle kinematical model and the optimal control theory.
利用车辆运动学模型，应用最优控制理论，对拖拉机自动引导行走方法进行了研究。
The dynamic and kinematic model, control and guidance equations of underwater vehicle are discussed, which tasks are divided in details, according to it's characteristics.
然后针对水下航行器制导系统多任务特点，讨论了水下航行器制导系统的动力学、运动学模型及控制、导引方程，并对其任务进行详细划分。
Firstly, the system models were constructed, including the structural model, the dynamic and kinetic model, the measurement model and the guidance and control law model.
首先建立末制导系统模型，其中包括拦截器结构模型、六自由度动力学与运动学模型、测量模型和制导控制律模型。
Based on the double object-function constraints of parking guidance and traffic flow control, optimization model of parking guidance coordinated with traffic flow control was constructed.
在停车诱导和交通流控制双重目标函数约束下，建立了停车诱导与交通流控制协同优化模型。
In order to realize the designed project trajectory that the guidance and control overall scheme is proposed and control system mathematical model of guided projectile is established.
为了实现所设计的方案弹道，提出了制导控制系统的总体方案，建立了滑翔制导炮弹的控制系统数学模型。
A new method based on multi-model prediction is proposed for the longitudinal guidance of re-entry vehicles with trajectory and control constraints.
在具有控制和轨迹约束的再入制导中，提出了一种新的基于多模型预测再入飞行器纵向制导方法。
Furthermore, frames and key technologies of each model have been discussed, which provide a theoretical guidance for the command and control GDSS.
并针对每种模式的结构和关键技术进行了论述，对指挥自动化群决策支持系统提供了理论指导。
The prediction results will have direct effect on traffic control and traffic guidance. A traffic flow prediction model using support vector machines(SVMs) based method is proposed.
提出一种基于支持向量机的交通流量实时预测模型，通过采用序贯最小优化算法，能够实现对交通流量的有效预测。
Afterwards the guidance and control method is designed according to the model.
分别针对数学模型实现了制导律的设计。
Afterwards the guidance and control method is designed according to the model.
分别针对数学模型实现了制导律的设计。
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