Model structure validation for closed-loop system identification

2017 ◽  
Vol 27 (4) ◽  
pp. 323
Author(s):  
Jian hong Wang ◽  
Yan xiang Wang
Keyword(s):  
System Identification ◽  
Closed Loop ◽  
Loop System ◽  
Model Structure ◽  
Structure Validation ◽  
Closed Loop System

Detection of Model Parameter Mismatch Using Simplified Partial Correlation Analysis for Closed-Loop System

2014 ◽  
Vol 625 ◽  
pp. 398-401
Author(s):  
Nur Hidayah Kamal Iqbal ◽  
Nooryusmiza Yusoff ◽  
Lemma Dendena Tufa
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Closed Loop ◽  
Loop System ◽  
Model Structure ◽  
Closed Loop System ◽  
Partial Correlation Analysis ◽  
Parameter Mismatch ◽  
Arx Model ◽  
Model Parameter

Partial correlation analysis is used in detecting the model-plant mismatch as it will give accurate location of mismatched submodel. In this work of model parameter mismatch detection in closed-loop system, a simplified method of partial correlation analysis is proposed. In this method, the identification step for input sensitivities relating setpoints and manipulated variables,Sru, is omitted due the ability of ARX model structure to capture the dynamic of the input-output data even though in the presence of unmeasured disturbance in closed-loop system. The ARX model structure is implemented in decorrelating the observed data from the correlated inputs. By using the ARX model, the mismatch is detected at the precise location compared to the detection using FIR decorrelation model.

CLOSID - A Matlab Toolbox for Closed-Loop System Identification

2000 ◽  
Vol 33 (15) ◽  
pp. 857-861
Author(s):  
Paul Van den Hof ◽  
Raymond de Callafon ◽  
Edwin van Donkelaar
Keyword(s):  
System Identification ◽  
Closed Loop ◽  
Loop System ◽  
Closed Loop System ◽  
Matlab Toolbox
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