Parametric identification of multivariable industrial system using left matrix fraction description
Joint Authors
Hafaifa, Ahmad
Nail, Bashir
Kouzou, Abd Allah
Djeddi, Shuayb
Source
Journal of Automation and Systems Engineering
Issue
Vol. 10, Issue 4 (31 Dec. 2016), pp.221-230, 10 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Algeria
No. of Pages
10
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
his paper we are applied the theory ofLinear Multivariable system identification based on the Left Matrix Fraction Description (LMFD) to find a approximate mathematical model using a recent measuredinputs outputs real data ofturbo compressorgas turbine.
The approximate modelis obtained via the MIMO Least Square(MLS) estimator based on the Left MFD, to select the best model order we check each one with two validation criteria AIC and FPE, finally we acquired stable valid and reliable model in Multivariable Block Observable canonicalForm
American Psychological Association (APA)
Nail, Bashir& Kouzou, Abd Allah& Hafaifa, Ahmad& Djeddi, Shuayb. 2016. Parametric identification of multivariable industrial system using left matrix fraction description. Journal of Automation and Systems Engineering،Vol. 10, no. 4, pp.221-230.
https://search.emarefa.net/detail/BIM-758024
Modern Language Association (MLA)
Nail, Bashir…[et al.]. Parametric identification of multivariable industrial system using left matrix fraction description. Journal of Automation and Systems Engineering Vol. 10, no. 4 (2016), pp.221-230.
https://search.emarefa.net/detail/BIM-758024
American Medical Association (AMA)
Nail, Bashir& Kouzou, Abd Allah& Hafaifa, Ahmad& Djeddi, Shuayb. Parametric identification of multivariable industrial system using left matrix fraction description. Journal of Automation and Systems Engineering. 2016. Vol. 10, no. 4, pp.221-230.
https://search.emarefa.net/detail/BIM-758024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 229-230
Record ID
BIM-758024