Transfer Function Models
Apps
| System Identification | Identify models of dynamic systems from measured data |
Functions
tfest | Estimate transfer function |
idtf | Transfer function model with identifiable parameters |
pem | Prediction error estimate for linear and nonlinear model |
delayest | Estimate time delay (dead time) from data |
getpvec | Model parameters and associated uncertainty data |
setpvec | Modify value of model parameters |
getpar | Obtain attributes such as values and bounds of linear model parameters |
setpar | Set attributes such as values and bounds of linear model parameters |
tfdata | Access transfer function data |
init | Set or randomize initial parameter values |
tfestOptions | Option set for tfest |
Examples and How To
Estimate Transfer Function Models in the System Identification App
This topic shows how to estimate transfer function models in the System Identification app.
Estimate Transfer Function Models at the Command Line
This topic shows how to estimate transfer function models at the command line.
Estimate Transfer Function Models by Specifying Number of Poles
This example shows how to identify a transfer function containing a specified number of poles for given data.
Estimate Transfer Function Models with Transport Delay to Fit Given Frequency-Response Data
This example shows how to identify a transfer function to fit a given frequency response data (FRD) containing additional phase roll off induced by input delay.
Estimate Transfer Function Models With Prior Knowledge of Model Structure and Constraints
This example shows how to estimate a transfer function model when the structure of the expected model is known and apply constraints to the numerator and denominator coefficients.
Estimate Transfer Functions with Delays
This example shows how to estimate transfer function models with I/O delays.
Estimate Transfer Function Models with Unknown Transport Delays
This example shows how to estimate a transfer function model with unknown transport delays and apply an upper bound on the unknown transport delays.
Troubleshoot Frequency-Domain Identification of Transfer Function Models
Improve frequency-domain model estimation by preprocessing data and applying frequency-dependent weighting filters.
Concepts
What are Transfer Function Models?
Transfer function models describe the relationship between the inputs and outputs of a system using a ratio of polynomials.
Data Supported by Transfer Function Models
Characteristics of estimation data for transfer function identification.
Transfer Function Structure Specification
Specify the values and constraints for the numerator, denominator and transport delays.
Specifying Initial Conditions for Iterative Estimation of Transfer Functions
Specify how initial conditions are handled during model estimation in the app and at the command line.
Identifying State-Space Models with Separate Process and Measurement Noise Descriptions
An identified linear model is used to simulate and predict system outputs for given input and noise signals.
