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모델 유형 및 기타 변환

제어 설계를 위해 모델 유형 변환, 모델 차수 축소


idfrdFrequency response data or model
idpolyPolynomial model with identifiable parameters
idtfTransfer function model with identifiable parameters
idssState-space model with identifiable parameters
comprealCompute companion state-space realization (R2023b 이후)
modalrealCompute modal state-space realization (R2023b 이후)
noisecnvTransform identified linear model with noise channels to model with measured channels only
translatecovTranslate parameter covariance across model transformation operations
mergeMerge estimated models
appendGroup models by appending their inputs and outputs
noise2measNoise component of linear identified model
absorbDelayReplace time delays by poles at z = 0 or phase shift
chgTimeUnitChange time units of dynamic system
chgFreqUnitChange frequency units of frequency-response data model
fdelDelete specified data from frequency response data (FRD) models
stackBuild model array by stacking models or model arrays along array dimensions
ss2ss상태공간 모델의 상태 좌표 변환

예제 및 방법


  • 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.

  • 상태공간 실현

    상태공간 모델은 무한히 많은 실현으로 표현할 수 있습니다. 일반형(표준형이라고도 함)에는 모드형, 동반형, 관측 가능형 및 제어 가능형이 포함됩니다.

  • 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

    Convert noise channels to measured channels and include the variance of the innovations.