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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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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