New results on discrete-time delay systems identification

Authors:
Saïda Bedoui;Majda Ltaief;Kamel Abderrahim
Affiliations:
Department of Electrical and Automation Engineering, National Engineering School of Gabes, University of Gabes, Gabes, Tunisia 6029;Department of Electrical and Automation Engineering, National Engineering School of Gabes, University of Gabes, Gabes, Tunisia 6029;Department of Electrical and Automation Engineering, National Engineering School of Gabes, University of Gabes, Gabes, Tunisia 6029
Venue:
International Journal of Automation and Computing
Year:
2012

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Abstract

A new approach for simultaneous online identification of unknown time delay and dynamic parameters of discrete-time delay systems is proposed in this paper. The proposed algorithm involves constructing a new generalized regression vector and defining the time delay and the rational dynamic parameters in the same vector. The gradient algorithm is used to deal with the identification problem. The effectiveness of this method is illustrated through simulation.