Title :
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
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;
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1994.381459
