A simultaneous identification method of model order and parameters has been established in this paper.
本文提出一种同时辨识单输入-单输出线性定常系统差分模型的阶次和参数的方法。
This paper proposes a new method of the FTS analysis and develops its parameter evaluation and model order estimation.
本文提出FTS分析的新方法，并研究它的参数估计和模型定阶。
Orthogonalization method of simultaneous estimation of polynomial model order and parameter is presented in this paper.
本文提出多项式模型方次与参数同时估计的一种方法。
Based on the sampled date of the system input and output, the paper presents a method for numerically analysing the system model order.
根据对象的输入输出采样数据，用数值计算方法分析热工对象模型的阶次。
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。
However, the parameter model based PSD estimation is used with the assumption that the model order is determined as low as possible through prior knowledge.
而功率谱估计中基于参数模型的方法得到广泛应用，但建模时通常只能根据经验选择一个固定较低的阶数。
For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
针对板带轧机液压agc系统在线故障诊断问题，建立了一种基于非线性自回归滑动平均模型NARMA的递归神经网络，通过AIC定阶法确定模型阶次。
The recovery of the lunar gravity field model depends on the tracking observation of lunar detectors, the highest lunar gravity model order is connected with denseness of the tracking data.
月球重力场的恢复依赖于对绕球探测器的跟踪观测，可恢复重力场模型的最高阶次与观测数据分布的密集程度之间满足一定的关系。
Micro electro mechanical systems Multi-granularity macro-modeling Non-standard structure Model order reduction;
微机电系统； 多粒度宏建模；非标结构；模型降阶；
Micro electro mechanical systems Multi-granularity macro-modeling Non-standard structure Model order reduction;
微机电系统； 多粒度宏建模；非标结构；模型降阶；
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