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

Piercing Star House

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