Performance Comparison of Genetic and Tabu Search Algorithms for System Identification

  • Aytekin Bagis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


This paper presents a performance comparison of the genetic and tabu search algorithm for system identification operations of different processes. The identification procedure is based on open-loop step response analysis of the processes. Each of the two algorithms is applied to determine the optimal parameter values of the processes to be modelled. Simulation results demonstrated that the presented algorithms can be efficiently used in the identification problems.


Step Response Tabu List Tabu Search Algorithm Integral Square Error Aspiration Criterion 
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  1. 1.
    Ljung, L.: System Identification. Prentice-Hall, Englewood Cliffs (1987)MATHGoogle Scholar
  2. 2.
    Pintelon, R., Guillaume, P., Rolain, Y., Verbeyst, F.: Identification of Linear Systems Captured in a Feedback Loop. IEEE Trans. on Inst. and Measurement 41(6), 747–754 (1992)CrossRefGoogle Scholar
  3. 3.
    Schoukens, J., Pintelon, R., Vandersteen, G., Guillaume, P.: Frequency Domain System Identification using Nonparametric Noise Models Estimated from A Small Number of Data Sets. Automatica 33(6), 1073–1086 (1997)MATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Solbrand, G., Ahlen, A., Ljung, L.: Recursive Methods for Off-Line Identification. Int. Journal of Control 41(1), 177–191 (1985)MATHCrossRefMathSciNetGoogle Scholar
  5. 5.
    Söderström, T., Stoica, P.: System Identification. Prentice-Hall, Englewood Cliffs (1989)MATHGoogle Scholar
  6. 6.
    Pintelon, R., Guillaume, P., Rolain, Y., Schoukens, J., VanHamme, H.: Parametric Identification of Transfer Functions in the Frequency Domain-A Survey. IEEE Trans. on Automatic Control 39(11), 2245–2260 (1994)MATHCrossRefMathSciNetGoogle Scholar
  7. 7.
    Schoukens, J., Pintelon, R., VanHamme, H.: Identification of Linear Dynamic Systems using Piecewise Constant Excitations: Use, Misuse and Alternatives. Automatica 30(7), 1153–1169 (1994)MATHCrossRefMathSciNetGoogle Scholar
  8. 8.
    Rolain, Y., Schoukens, J., Pintelon, R.: Order Estimation for Linear Time-Invariant Systems using Frequency Domain Identification Methods. IEEE Trans. on Automatic Control 42(10) (1997)Google Scholar
  9. 9.
    Pham, D.T., Karaboga, D.: Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. Springer, Heidelberg (2000)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Aytekin Bagis
    • 1
  1. 1.Dept. of Electronic Eng.Erciyes UniversityKayseriTurkey

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