A new bias-compensating least-squares method for continuous-time MIMO system identification applied to a laboratory-scale process

Author

Garnier, H. ; Sibille, Patrick ; Nguyen, Hoang L.

Author_Institution

Fac. des Sci., Centre de Recherche en Autom. de Nancy, Vandoeuvre, France

fYear

1994

fDate

24-26 Aug 1994

Firstpage

1711

Abstract

This paper presents a new bias-compensating least-squares method for the identification of continuous-time transfer function matrix model of multi-input multi-output (MIMO) systems. The proposed method uses the generalised Poisson moment functional approach for handling time derivatives and is applied to the identification of a laboratory-scale process which simulates industrial material transport control problems. Model validation results show the potentiality of the proposed method in practical applications

Keywords

MIMO systems; continuous time systems; identification; least squares approximations; process control; stochastic processes; transfer function matrices; Poisson moment function; bias-compensating least-squares method; continuous-time MIMO system; identification; industrial material transport control; laboratory-scale process; time derivatives; transfer function matrix model; Continuous time systems; Identification; Least squares methods; Multivariable systems; Poisson processes; Process control; Transfer function matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1994., Proceedings of the Third IEEE Conference on

Conference_Location

Glasgow

Print_ISBN

0-7803-1872-2

Type

conf

DOI

10.1109/CCA.1994.381459

Filename

381459