Continuous- and Discrete-Time Conversions
Change model sample time
System Identification Toolbox™ offers several discretization and interpolation methods for converting identified dynamic system models between continuous time and discrete time and for resampling discrete-time models. Some methods tend to provide a better frequency-domain match between the original and converted systems, while others provide a better match in the time domain.
Functions
c2d | Convert model from continuous to discrete time |
c2dOptions | Specify discretization method for continuous-time to discrete-time conversions |
d2c | Convert model from discrete to continuous time |
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 |
Topics
- 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.