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New results on discrete-time delay systems identification

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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.

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Authors and Affiliations

  1. Department of Electrical and Automation Engineering, National Engineering School of Gabes, University of Gabes, Gabes, 6029, Tunisia

    Saïda Bedoui, Majda Ltaief & Kamel Abderrahim

Authors
  1. Saïda Bedoui
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  2. Majda Ltaief
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  3. Kamel Abderrahim
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Corresponding author

Correspondence to Saïda Bedoui.

Additional information

This work was supported by Ministry of the Higher Education and Scientific Research in Tunisia.

Saïda Bedoui received the B.Eng. degree in electrical-automatic engineering in 2008, and the M. Eng. degree in automatic and smart techniques from the National School of Engineers of Gabes (ENIG), Tunisia in 2008. Currently, she is a Ph.D. candidate at Research Unit of Numerical Control of Industrial Processes (CONPRI), University of Gabes, ENIG, Tunisia.

Her research interests include time delay system identification, multimodel approaches and adaptive control.

Majda Ltaief received her B.Eng. degree in electrical-automatic from Tunisia in 1996 and the DEA for the same specialty from the National School of Engineers of Gabes (ENIG), Tunisia in 1999. In 2005, she obtained her Ph.D. degree in electricalautomatic engineering from the National School of Engineers of Tunis, Tunisia. From 2004 to 2005, she was an assistant professor in the Electric Engineering Department in the High Institute of Applied Sciences and Technology of Gabes, Tunisia. She is currently an associate professor in the Electric Engineering Department, ENIG, Tunisia.

Her research interests include multimodel and multicontrol approaches, fuzzy supervision, and numerical control of complex systems.

Kamel Abderrahim received the B.Eng. degree in electrical engineering from the National School of Engineers of Gabes (ENIG), Tunisa in 1992, and the M. Eng. degree in automatic control from Higher School of Sciences and Techniques of Tunis, Tunisia (ESSTT) in 1995, and the Ph.D. degree in electrical engineering from National School of Engineers of Tunis, Tunisia (ENIT) in 2000, and the Habilitation in electrical engineering from the University of Gabs in 2009. He has been a member of Laboratory of Numerical Control of Industrial Processes (LACONPRI) at the ENIG since 1995. He joined the ENIG as an assistant professor in 2000, and now he works as a professor at the ENIG. From 2002 to 2005, he was the director of the Electrical Engineering Department at the ENIG. And from 2005 to 2011, he was the director of Higher Institute of Industrial Systems, Tunisia (ISSIG).

His research interests include nonlinear process modeling, identification, and control.

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Bedoui, S., Ltaief, M. & Abderrahim, K. New results on discrete-time delay systems identification. Int. J. Autom. Comput. 9, 570–577 (2012). https://doi.org/10.1007/s11633-012-0681-x

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  • DOI: https://doi.org/10.1007/s11633-012-0681-x

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