model order

The dissertation discussed the LS-DYNA about the key point of modelling, the rationale and model order.

在本文相应的章节中,详细介绍LS-DYNA程序的建模要点和理论基础及本文模型的命令流.

The controller adopts sub-optimal model order reducing algorithm to identify second-order plus pure time delay model, then according to giving phase and amplitude magins PID parameters are adjusted.

该控制器采用次最优模型降阶算法，辨识出二阶加纯滞后的模型；然后基于给定的相位裕度和幅值裕度，整定出PID参数。

Second, the paper introduces the AIC criterion in order to acquiring thesystem model order exactly.

其次, 引入AIC准则来确定系统模型的阶次,准确地得到系统的阶次.

Under such background, this paper first introduces the principles of model order reduction and the significance of signal integrity analysis.

在这一背景下，本文首先阐述了模型降阶的基本原理，以及信号完整性分析的意义。

It involves five parts of Input-output data generation, program block call of about ten sorts, result treatment, model order and delay time determination and model verification.

它包括输入/输出数据的生成，近十种辨识程序模块的调用，结果的处理，模型阶次与纯滞后时间的确定和模型校验等五大部分。