데이터 분석하기

지연, 피드백, 가진 레벨과 같은 데이터 특성 확인

함수

`bode`	주파수 응답, 또는 크기 및 위상 데이터의 보드 플롯
`bodemag`	주파수 응답의 크기 전용 보드 플롯
`plot`	Plot input and output channels of estimation data
`advice`	Analysis and recommendations for data or estimated linear models
`delayest`	데이터를 바탕으로 시간 지연(불감 시간) 추정
`isreal`	Determine whether model parameters or data values are real
`realdata`	Determine whether `iddata` is based on real-valued signals
`feedback`	가능한 피드백 데이터 식별
`pexcit`	Level of excitation of input signals
`impulseest`	Nonparametric impulse response estimation
`etfe`	Estimate empirical transfer functions and periodograms
`spa`	Estimate frequency response with fixed frequency resolution using spectral analysis
`spafdr`	Estimate frequency response and spectrum using spectral analysis with frequency-dependent resolution

iddataPlotOptions Option set for idplot when plotting input/output estimation data contained in a timetable, numeric matrices, or an iddata object

예제 및 방법

How to Plot Data in the App
After importing data into the System Identification app, as described in 데이터 표현하기, you can plot the data.
How to Plot Data at the Command Line
The following table summarizes the commands available for plotting time-domain, frequency-domain, and frequency-response data.
How to Analyze Data Using the advice Command
You can use the advice command to analyze time- or frequency- domain data before estimating a model.
Identify Delay Using Transient-Response Plots
You can use transient-response plots to estimate the input delay, or dead time, of linear systems.

개념

Is Your Data Ready for Modeling?
Before you start estimating models from data, you should check your data for the presence of any undesirable characteristics.