相关性模型
利用相关性分析获得的冲激响应模型
时域相关性分析是指根据数据以有限冲激响应 (FIR) 模型的形式对动态系统的冲激响应进行非参数化估计。估计模型存储为传递函数对象。
App
| 系统辨识 | 从测量数据辨识动态系统模型 |
函数
cra | Estimate impulse response using input/output data prewhitening before correlation analysis |
impulseest | Nonparametric impulse response estimation |
impulseestOptions | Options set for impulseest |
era | Estimate state-space model from impulse response data using Eigensystem Realization Algorithm (ERA) (自 R2022b 起) |
getpvec | Obtain model parameters and associated uncertainty data |
setpvec | Modify values of model parameters |
主题
- What Is Time-Domain Correlation Analysis?
Time-domain correlation analysis refers to nonparametric estimation of the impulse response of dynamic systems as a finite impulse response (FIR) model from the data.
- Estimate Impulse-Response Models Using System Identification App
Estimate in the app using time-domain correlation analysis.
- Estimate Impulse-Response Models at the Command Line
Use
impulseestcommand to estimate using correlation analysis. - Compute Response Values
Obtain numerical impulse- and step-response vectors as a function of time.
- Identify Delay Using Transient-Response Plots
You can use transient-response plots to estimate the input delay, or dead time, of linear systems.
