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A second-order dynamic model was obtained by using input and output data, and applying an identification algorithm.
First, we identify the reverberation environment of the input speech by applying an identification model to the speech.
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During simulations some essential difference between linear DINA-L model and plasma-physics DINA code itself was discovered which led to the conclusion to apply an identification procedure on DINA code to get more accurate linear models for the feedback controller design.
Against this background the research project RISK-IDENT develops and applies an identification system for both already known and so far unknown anthropogenic trace contaminants using LC-MS/MS.
We take into consideration the method of identification of a system in dynamic conditions by applying a Graybox Identification Model and a Dynamic Adaptative Linear Neural Network (ALNN) model.
In the second part, vibration properties on the large-amplitude level are investigated by applying a system identification technique to earthquake records observed in a 31-storey building with an irregular-shaped plan.
Therefore, robustness, ease of sliding in and pulling out the card, feasibility of applying a personal identification label, etc. were goals to achieve, as well as increasing the efficiency of the service.
A non-linear mathematical model has been obtained by applying a modified conventional identification technique based on the principle of harmonic balance.
An additional technical measure is for them to apply a personal identification number (PIN) or passphrase to protect their secret private asymmetric keys.
To obtain mathematical model, this work applies a nonlinear identification method, based on the harmonic balance principle, to a chaotic unknown system with a noisy environment.
This method first applies a system identification routine to construct the input-output transfer matrix and calculate the array of nominal localization keys.
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CEO of Professional Science Editing for Scientists @ prosciediting.com