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.