A new modeling approach of MIMO linear systems using the generalized orthonormal basis functions

Authors:
Jalel Ghabi;Ali Douik;Hassani Messaoud
Affiliations:
Electrical Engineering Department, National School of Engineers of Monastir, Ecole Nationale d'Ingénieurs de Monastir, Monastir, Tunisie;Electrical Engineering Department, National School of Engineers of Monastir, Ecole Nationale d'Ingénieurs de Monastir, Monastir, Tunisie;Electrical Engineering Department, National School of Engineers of Monastir, Ecole Nationale d'Ingénieurs de Monastir, Monastir, Tunisie
Venue:
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2007

Citing 2
Cited 0

System identification with generalized orthonormal basis functions

Automatica (Journal of IFAC) - Special issue on trends in system identification
Minimal partial realization from generalized orthonormal basis function expansions

Automatica (Journal of IFAC)

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Abstract

In this paper we propose a new modeling technique for LTI multivariable systems using the generalized Orthonormal basis functions with ordinary poles. Once the model structure is built we proceed to update the membership set of the resulting model parameters through the execution of unknown but bounded error identification algorithms. This updating aims to synthesize a robust control strategy.