DocumentCode :
2096681
Title :
An Alternative Method of Parameter Estimation Using Orthogonal Regression with Interval Constraint Satisfaction Technique
Author :
Raval, S.K. ; Makwana, D. ; Modi, C.K. ; Nataraj, P.S.V.
Author_Institution :
Instru. & Control Deptt., L.D.Coll. of Eng., Ahmadabad, India
fYear :
2012
fDate :
11-13 May 2012
Firstpage :
662
Lastpage :
666
Abstract :
Parameter estimation is crucial for model identification in control engineering and in other disciplines. In present work a new method based on interval constraint satisfaction technique is proposed for obtaining parameter estimation of a system using linear orthogonal regression. In orthogonal regression, errors in both the measured variable and response variable are taken into account. The power of interval analysis based method is explored to develop proposed method. Two well known examples of datasets are used to validate the proposed method.
Keywords :
constraint satisfaction problems; parameter estimation; regression analysis; control engineering; interval analysis; interval constraint satisfaction technique; linear orthogonal regression; measured variable; model identification; parameter estimation; response variable; Accuracy; Convergence; Equations; Estimation; Mathematical model; Parameter estimation; Reliability; Orthogonal regression; interval constraint satisfaction problem (ICSP); interval constraint satisfaction technique (ICST);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location :
Rajkot
Print_ISBN :
978-1-4673-1538-8
Type :
conf
DOI :
10.1109/CSNT.2012.147
Filename :
6200692
Link To Document :
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