モデルタイプとその他の変換

制御デザインのためのモデルタイプの変換、モデル次数の低次元化

関数

`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

`canon`	正準状態空間実現
`balred`	モデル次数の低次元化
`noisecnv`	Transform identified linear model with noise channels to model with measured channels only
`translatecov`	Translate parameter covariance across model transformation operations
`merge`	Merge estimated models
`append`	入力と出力を追加して、モデルをグループ化する
`noise2meas`	Noise component of model
`absorbDelay`	むだ時間を z = 0 または移相シフトでの極に置き換える
`chgTimeUnit`	動的システムの時間単位の変更
`chgFreqUnit`	周波数応答データモデルの周波数単位の変更
`fdel`	周波数応答データ (FRD) モデルから指定したデータを削除
`stack`	配列次元と共にモデルまたはモデル配列をスタックして、モデル配列を作成する
`ss2ss`	状態空間モデルの状態座標変換

Transforming Between Linear Model Representations
Converting between state-space, polynomial, and frequency-response representations.
Reducing Model Order Using Pole-Zero Plots
You can use pole-zero plots of linear identified models to evaluate whether it might be useful to reduce model order. When confidence intervals for a pole-zero pair overlap, this overlap indicates a possible pole-zero cancellation.
Create and Plot Identified Models Using Control System Toolbox Software
Identify models and use the Linear System Analyzer to plot the models.

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.
正準状態空間実現
モード正準形式、コンパニオン正準形式、可観測正準形式、可制御正準形式の状態空間モデル。
Concatenating Models
Horizontal and vertical concatenation of model objects at the command line.
Merging Models
How to merge models to obtain a single model with parameters that are statistically weighed means of the parameters of the individual models.
Treating Noise Channels as Measured Inputs
转换噪声测量通道和通道clude the variance of the innovations.