Simultaneous identification of the all parameters for the Lorenz chaotic system
DOI:
https://doi.org/10.34185/1562-9945-6-125-2019-06Keywords:
chaotic systems, parametric identification, non-linear dynamic system identificationAbstract
Drawbacks of the adaptive-searching methods, related with the problem of multi-parameter dynamic system identification are explored and highlighted. New approach, based on “moving regression” method is proposed. New approach is a hybrid method; it combines features of the “moving average” method, linear regression method and differential system representation. This combination allows to simultaneously determining complex dynamic system parameters, in spite of its chaotic behavior and measurement errors. New method possibilities are explored via identification process numerical simulation for the Lorenz chaotic system.
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