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Reseach Article

New Method for the Systematic Determination of the Model’s base of Time Varying Delay System

by Saida Bedoui, Majda Ltaief, Kamel Abderrahim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 1
Year of Publication: 2012
Authors: Saida Bedoui, Majda Ltaief, Kamel Abderrahim
10.5120/6871-8967

Saida Bedoui, Majda Ltaief, Kamel Abderrahim . New Method for the Systematic Determination of the Model’s base of Time Varying Delay System. International Journal of Computer Applications. 46, 1 ( May 2012), 13-19. DOI=10.5120/6871-8967

@article{ 10.5120/6871-8967,
author = { Saida Bedoui, Majda Ltaief, Kamel Abderrahim },
title = { New Method for the Systematic Determination of the Model’s base of Time Varying Delay System },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 1 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number1/6871-8967/ },
doi = { 10.5120/6871-8967 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:37.549881+05:30
%A Saida Bedoui
%A Majda Ltaief
%A Kamel Abderrahim
%T New Method for the Systematic Determination of the Model’s base of Time Varying Delay System
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 1
%P 13-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose a new method for the systematic determination of the model's base of time varying delay system. This method based on the construction of the classification data related to the considered system. The number, the orders, the time delay and the parameters of the local models are generated automatically without any knowledge about the full operating range of the process. The parametric identification of the local models is realized by a new recursive algorithm for on line identification of systems with unknown time delay. The proposed algorithm allows simultaneous estimation of time delay and parameters of discrete-time systems. The effectiveness of the new method has been illustrated through simulation.

References
  1. A. B. Rad, W. L. L, K. M. Tsang, 2003, "Simultaneous on line identification of rational dynamics and time delay: A correlation based approach", IEEE Transactions on Control Systems Technology, vol. 11, no. 6, pp. 957– 959.
  2. A. Elnaggar, G. A. Dumont, 1990, A. L. Elshafei, "New method for delay estimation", Proceeding of 29th Conferenceon Decision and Control, Hawail.
  3. G. Ferretti, C. Maffezzoni, R. Scattolini, , 1991 Recursive estimation of time delay in sampled Systems, Automatica, vol. 27, No. 4, pp. 653-661, Great Britain.
  4. H. Kurz, W. Goedecke, 1981, "Digital parameter adaptative control of process with unknown dead time", Automatica, Great Britain, vol. 17, no. 1, pp. 245–252.
  5. J. P. Richard, 2003," Time delay systems: an overview of some recent advances and open problems", Automatica, vol. 39 , pp. 1667–1694.
  6. Kolmanovskii, V. B. Niculescu, S. I. Gu, K. 1999, "Delay effects on stability: A survey", Proceedings of the 38th IEEE Conference on Decision and Control, vol. 2, pp. 1993–1998.
  7. M. De la Sen, 2007, Robust adaptive control of linear time delay systems with point time-varying delays via multiestimation, Elsevier, vol. 33, pp. 959–977.
  8. M. Ltaief, K. Abderrahim, R. Ben Abdennour, 2008, "Contribution to the multimodel approach: Systematic determination of the models' base and validities estimation", J Automation and Systems Engineering, vol. 2, no. 3.
  9. P. J. Gawthrop, M. T. Nihtila, 1985, Identification of time delays using polynomial identification method, Systems and Control Letters , North-Holland, vol. 5, pp. 276–271.
  10. Q. G. Wang, Y. Zhang, 2001, Robust identification of continuous systems with dead time from step responses, Automatica, vol. 37, pp. 377–390.
  11. S. Ahmed, B. Huang, S. L. Shah, 2006, Parameter and delay estimation of continuous time models using a linear filter, Automatica, vol. 16, pp. 323–331.
  12. S. Bedoui, M. Ltaief, K. Abderrahim, R. Ben Abdennour, 2011,"Representation and control of time delay system: Multimodel approach". Proceeding of 8th International Multi-Conference On Systems, Signals And Devices, March, Sousse, Tunisia.
  13. S. L. Chiu, 1994,"Fuzzy model identification based on cluster estimation", Journal of Intelligent and Fuzzy Systems, vol. 2, pp. 267–278.
  14. S. V. Drakunova, W. Perruquettib, J. P. Richard, L. Belkourac, 2006, "Delay identification in time-delay systems using variable structure observers", Annual Reviews in Control, vol. 30, no. 2, pp. 143–158.
  15. S. W. Sung, I. B. Lee, 2001, Prediction error identification method for continuous time processes with time delay, Ind. Eng. Chem, vol. 40, no. 24, pp. 5743–5751.
  16. T. Zhang, Y. Cui, 2008, A Bilateral Control of Teleoperators Based on Time Delay Identification, IEEE Transactions on Control Systems Technology, China.
  17. T. Zhang, Y. Li, 2003, A fuzzy Smith control of time-varying delay systems based on time delay identification, Proc. of Machine Learning and Cybernetics, vol. 1, pp. 614- 619.
  18. W. Gao, Y. C. Li, G. J. Liu and T. Zhang, 2003, An Adaptive Fuzzy Smith Control of Time-Varying Processes with Dominant and Variable Delay, Proc. of ACC, vol. 1, pp. 220-224.
  19. W. Gao, M. L. Zhou, Y. C. Li, T. Zhang, 2004, An adaptive generalized predictive control of time varying delay System, Proceeding of the second World Conference on Machine Learning and Cybernetics, pp. 878–881, Xi'an, Shanghai.
  20. W. X. Zheng, C. B. Feng, 1990"Identification of stochastic time lag systems in the presence of colored noise", Automatica, , vol. 26, no. 4, pp. 769–779.
  21. Y. Orlov, L. Belkoura, M. Dambrine, J. P. Richard, 2002, "On identifiability of linear time-delay systems", IEEE Transactions on Automatic Control, vol. 47, no. 8, pp. 1319–1324.
  22. Y. Orlov, L. Belkoura, J. P. Richard, M. Dambrine, 2003, Adaptive identification of linear time-delay systems, International Journal on Robust and Nonlinear Control, vol. 13, no. 9, pp. 857–872.
  23. T. S¨oderström, P. Stoica, System Identification, Prentice Hall International, Series in Systems and Contol Engineering,
Index Terms

Computer Science
Information Sciences

Keywords

Identification Time Delay System Models' Base Multimodel Approach