通过实验方法建立了系统的ARX模型，并在此基础上设计了预测控制器对结构进行振动主动控制。
An experiment method was used to identify ARX model of the system, based on which the predictive controller was obtained to control vibration of a cantilever beam.
建筑打桩施工的噪声和振动，由于在实际传播过程中的未知因素很多，难以建立较高精度的物理预测模型。
Physical prediction model is difficult to establish for noise and vibration in building construction due to unknown factors encountered in the actual propagation process.
此外，文中提出了一个适用于多排孔延时爆破振动速度预测模型的依据公式。
Besides, a basis formula of vibration velocity prediction model that is suitable for multi-row millisecond blasting was proposed.
分析了设备运行状态的特征，运用灰色系统理论对设备状态特征量——振动烈度，建立了灰色预测模型。
Based on analysis of the characteristics of equipment operation, and according to the vibration intensity, a grey prediction model is established by use of grey system theory.
根据现场爆破震动测试成果，建立了小湾地下厂房围岩爆破质点振动的预测模型。
The Xiaowan underground powerhouse surrounding rock blasting particle vibration prediction model was established on the basis of the site blasting shock test and measurement.
FDA模型的预测准确率是可以接受的，所以这是一个新的方法来预测下砌体结构的破坏作用，可应用于实际工程的爆破振动。
The prediction accuracy of FDA model is acceptable, so it is a new approach to predict destructive effect of masonry structure under blasting vibration, which can be applied to practical engineering.
文章建立了飞机壁板隔声的统计能量分析模型，研究了外部声场激励和振动激励通过飞机壁板的隔声量，预测了飞机舱室内的声场分布。
In this paper, a model of statistical energy analysis is used to study sound transmission loss of the aircraft cabin, and predict the sound field in the cabin.
在曲轴系统的振动预测中应用动刚度矩阵法，计算从曲轴向滑块的激振力输入，建立了动力传动装置全系统的有限元模型，并采用该模型进行了振动的预测计算。
In this paper, the dynamic stiffness matrix method is used to predict the vibration of the crankshaft system and to calculate the input exciting force from the crankshaft to the slide rod.
仿真表明，SVM模型可靠高效，对实现直线振动发电机的实时在线控制及在线预测具有非常重要的应用价值。
The simulation shows that the SVM model is highly reliable, it offers very important applicable values to implement realtime online control and online prediction for linear reciprocating generator.
结果表明，该模型可以预测动态铣削过程中的切削力和振动位移。
Experimental results show that the model can predict the milling force and displacements simultaneously in the dynamic milling process.
结果表明，该模型可以预测动态铣削过程中的切削力和振动位移。
Experimental results show that the model can predict the milling force and displacements simultaneously in the dynamic milling process.
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