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Innovative Simulation Systems pp 317–334Cite as

Application of Genetic Algorithms for Identification of Simulated Systems

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 33))

Abstract

A new system identification method (TSGA) based on Genetic Algorithms for system simulation is presented. The method is performed in two steps (S1 and S2). In each step of the method, a new approach to the population definition and identification process are applied for identification of parameters of system model. The simulated model with identified parameters is used for simulations of the system behavior. The method is suitable to linear as well as nonlinear models.

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Author information

Authors and Affiliations

  1. Department of Automation and Aeronautical Systems, Warsaw University of Technology, 00-665, Warsaw, Poland

    Martyna Ulinowicz & Janusz Narkiewicz

Authors
  1. Martyna Ulinowicz
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  2. Janusz Narkiewicz
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Corresponding author

Correspondence to Martyna Ulinowicz .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Aleksander Nawrat

  2. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Karol Jędrasiak

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Ulinowicz, M., Narkiewicz, J. (2016). Application of Genetic Algorithms for Identification of Simulated Systems. In: Nawrat, A., Jędrasiak, K. (eds) Innovative Simulation Systems. Studies in Systems, Decision and Control, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-21118-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-21118-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21117-6

  • Online ISBN: 978-3-319-21118-3

  • eBook Packages: EngineeringEngineering (R0)

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