Comparison of multivariable identification and parity space techniques for FDI purpose in M.I.M.O systems

Author

Delmaire, G. ; Cassar, J.Ph. ; Staroswiecki, M. ; Christophe, C.

Author_Institution

LAIL, Univ. des Sci. et Technol. de Lille, Villeneuve d´Ascq, France

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

2789

Lastpage

2794

Abstract

Parity space and parameter identification based techniques have been first compared in the monovariable case [Delm1], [Delm2]. In [Gert2], these results have been extended considering MIMO systems in ARMA form. To overcome the drawback resulting from parameters redundancy, we propose to express the linear observable MIMO model into one of its canonical forms [Guid], which provides a framework for the comparison of the two residual generation methods.

Keywords

MIMO systems; linear systems; multivariable control systems; parameter estimation; ARMA form; FDI purpose; canonical forms; linear observable MIMO model; monovariable case; multivariable identification; parameter identification based techniques; parameter redundancy; parity space techniques; residual generation methods; Aerospace electronics; Estimation; Fault diagnosis; MIMO; Mathematical model; Parameter estimation; Redundancy; canonical form; fault detection; multivariable identification; parameter identification; parity space;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7099749