Main Content

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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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%                                
FPE: 1.725, MSE: 1.658                                        
More information in model's "Report" property.
 

Version History

Introduced before R2006a