Documentation

present

Display model information, including estimated uncertainty

Syntax

present(m)

Description

example

present(m) displays the linear or nonlinear identified model m and the following information:

  • Estimated one standard deviation of the parameters, which gives 68.27% confidence region

  • Termination conditions for iterative estimation algorithms

  • Status of the model — whether the model was constructed or estimated

  • Fit to estimation data

  • Akaike's Final Prediction Error (FPE) criterion

  • Mean-square error (MSE)

Examples

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Display Information About Identified Model

Estimate a transfer function model.

load iddata1 z1;
np = 2;
sys = tfest(z1,np);

Display model information.

present(sys)
                                                                            
sys =                                                                       
                                                                            
  From input "u1" to output "y1":                                           
      2.455 (+/- 1.101) s + 177 (+/- 10.73)                                 
  ----------------------------------------------                            
  s^2 + 3.163 (+/- 0.2522) s + 23.16 (+/- 1.115)                            
                                                                            
Continuous-time identified transfer function.                               
                                                                            
Parameterization:                                                           
   Number of poles: 2   Number of zeros: 1                                  
   Number of free coefficients: 4                                           
   Use "tfdata", "getpvec", "getcov" for parameters and their uncertainties.
                                                                            
Status:                                                                     
Termination condition: Near (local) minimum, (norm(g) < tol).               
Number of iterations: 1, Number of function evaluations: 3                  
                                                                            
Estimated using TFEST on time domain data "z1".                             
Fit to estimation data: 70.77% (simulation focus)                           
FPE: 1.725, MSE: 1.658                                                      
More information in model's "Report" property.                              

Introduced before R2006a

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