Identification of a Pulverized Fuel Mill From Normal Operating Records Using a Multivariable Polynomial Matrix Model-Reference-Cited by-同舟云学术

Identification of a Pulverized Fuel Mill From Normal Operating Records Using a Multivariable Polynomial Matrix Model

Published:2000-01 Issue:3 Volume:20 Page:227-235
ISSN:0228-6203
Container-title:International Journal of Modelling and Simulation
language:en
Short-container-title:International Journal of Modelling and Simulation

Author:

Hamiane M.¹

Affiliation:

1. Faculty of Sciences, Department of Physics, Dammam Girls Colleges, P.O. Box 838, Dammam 31113, Saudi Arabia;

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modelling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/02286203.2000.11442161

Reference7 articles.

1. D.G. Luenberger, Canonical forms for linear multivariable systems,IEEE Trans. on Automatic Control, AC-12, 1967, 290–293.

2. R.P. Guidorzi, Complete sets of invariants and canonical inputoutput forms for multivariable system structural and parametric identification,Proc. 5th IFAC Symp. Ident. & Sys. Par. Est, 1, Darmstadt, Germany, 1979, 429–436.

3. H. El-Sherief, Recent advances in modelling and identification of stochastic multivariable systems and their application,Proc. 6th IFAC Symp. Ident. & Sys. Par. Est., 1, Washington, DC, 1982, 367–372.

4. M. Hamiane,Development and implementation of an identification package for linear multivariable systems, doctoral thesis, University of Sheffield, UK, 1985.

5. W.C. Amarad, L. Gimeno, & M. Mendes, An analysis of least-squares derived techniques for parallel implementation of the MIMO-ARMA situation,Proc. 6th IFAC Symp. Ident. & Sys. Par. Est., 1, Washington, DC, 1982, 181–186.

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