模型类型和其他转换

转换控制设计模型类型，降低模型阶数

System Identification Toolbox™ 软件可帮助您创建不同类型的动态系统模型。您还可以对辨识模型执行各种转换操作，例如合并和串联两个或多个模型。

函数

`idfrd`	Frequency response data or model
`idpoly`	Polynomial model with identifiable parameters
`idtf`	Transfer function model with identifiable parameters
`idss`	State-space model with identifiable parameters

`compreal`	Compute companion state-space realization (自 R2023b 起)
`modalreal`	计算模态状态空间实现 (自 R2023b 起)
`noisecnv`	Transform identified linear model with noise channels to model with measured channels only
`translatecov`	Translate parameter covariance across model transformation operations
`merge`	合并估计模型
`append`	通过追加模型的输入和输出分组模型
`noise2meas`	Noise component of linear identified model
`absorbDelay`	用 z = 0 处的极点或相位移代替时滞
`chgTimeUnit`	更改动态系统的单位
`chgFreqUnit`	Change frequency units of frequency-response data model
`fdel`	从频率响应数据 (FRD) 模型中删除指定数据
`stack`	沿数组维度堆叠模型或模型数组以构建模型数组
`ss2ss`	状态空间模型的状态坐标变换

Using Identified Models for Control Design Applications
Using System Identification Toolbox models with Control System Toolbox™ software.
Subreferencing Models
Creating models with subsets of inputs and outputs from multivariable models at the command line.
状态空间实现
一个状态空间模型可以由无限多种实现来表示。常见的形式（有时也称为典型形式）包括模态形式、伴随形式、可观测形式和可控制形式。
Concatenating Models
Horizontal and vertical concatenation of model objects at the command line.
合并模型
如何合并模型，以获得一个参数为各模型参数的统计加权均值的单一模型。
Treating Noise Channels as Measured Inputs
Convert noise channels to measured channels and include the variance of the innovations.
Transforming Between Linear Model Representations
Converting between state-space, polynomial, and frequency-response representations.
利用极点-零点图降低模型阶数
您可以利用线性辨识模型的极点-零点图，来评估降低模型阶数是否有用。当一极点-零点对的置信区间发生重叠时，这种重叠表明可能存在极点-零点抵消现象。
Create and Plot Identified Models Using Control System Toolbox Software
Identify models and use the Linear System Analyzer to plot the models.