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Real-time system identification using intelligent algorithms
Madkour, A.A.M. Hossain, M. Alamgir Dahal, Keshav P. Yu, H.
Madkour, A.A.M.
Hossain, M. Alamgir
Dahal, Keshav P.
Yu, H.
Publication Date
2004
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Copyright © [2004] IEEE. Reprinted from Proceedings of
the IEEE SMC UK-RI Chapter Conference on Intelligent Cybernetic
Systems,September 7-8, 2004, Londonderry, U.K
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Abstract
This research presents an investigation into
the development of real time system identification using
intelligent algorithms. A simulation platform of a flexible
beam vibration using finite difference (FD) method is
used to demonstrate the real time capabilities of the
identification algorithms. A number of approaches and
algorithms for on line system identifications are explored
and evaluated to demonstrate the merits of the algorithms
for real time implementation. These approaches include
identification using (a) traditional recursive least square
(RLS) filter, (b) Genetic Algorithms (GAs) and (c)
adaptive Neuro_Fuzzy (ANFIS) model. The above
algorithms are used to estimate a linear discrete second
order model for the flexible beam vibration. The model is
implemented, tested and validated to evaluate and
demonstrate the merits of the algorithms for real time
system identification. Finally, a comparative performance
of error convergence and real time computational
complexity of the algorithms is presented and discussed
through a set of experiments.
Version
Published version
Citation
Madkour, A.A.M., Hossain, M.A., Dahal, K.P. and Yu, H. (2004) Realtime
system identification using intelligent algorithms. In: Proceedings of the IEEE
SMC UK-RI 3rd Chapter Conference on Intelligent Cybernetic Systems, (ICS¿04)
September 7-8, 2004, Londonderry, U.K. pp 236-241.
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Conference paper