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The system identification method is used to find out a nominal model.
In this paper, we propose an automatic weather system identification method.
This paper presents a chaotic memristor system identification method based on piecewise adaptive Legendre filters.
A system identification method has been proposed to validate finite element models of complex structures using measured modal data.
The proposed system identification method and crack detection procedure have been successfully validated by numerical simulations and experimental tests.
Then, a nonlinear system identification method is developed, capable of identifying this type of strongly nonlinear modal interactions.
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The engine models were derived with system identification methods.
It fits into the group of parametric system identification methods that use a structured mathematical model.
Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI), system identification methods, were applied.
In this paper, we introduce a novel method to robustify kernel-based system identification methods.
Patient models are constructed based on clinical trial data and gray box system identification methods.
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