在连续时间与离散时间之间转换
更改模型采样时间
System Identification Toolbox™ 提供了多种离散化和插值方法，用于在连续时间与离散时间之间转换辨识的动态系统模型，以及重新采样离散时间模型。一些方法倾向于在原始系统和转换后的系统之间提供更好的频域匹配，而其他方法则提供更好的时域匹配。
函数
c2d | 将模型从连续时间转换为离散时间 |
c2dOptions | Specify discretization method for continuous-time to discrete-time conversions |
d2c | 将模型从离散时间转换为连续时间 |
d2cOptions | Create option set for discrete- to continuous-time conversions |
d2d | Resample discrete-time model |
d2dOptions | Create option set for discrete-time resampling |
translatecov | Translate parameter covariance across model transformation operations |
主题
- Transforming Between Discrete-Time and Continuous-Time Representations
Converting linear polynomial and state-space models between discrete-time and continuous-time representations.
- Continuous-Discrete Conversion Methods
Choose discretization and interpolation methods for converting between continuous and discrete models.
