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Transfer Function Models

Transfer function models

Apps

System Identification Identify models of dynamic systems from measured data

Functions

tfest Transfer function estimation
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 Algorithms

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.

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