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In system identification, the real-coded genetic algorithm (RGA) is adopted to find the parameters of the SR mechanism and the PA.
In this paper, one of the most advanced stochastic system identification, the data-driven stochastic subspace identification technique (SSI-DATA) was proposed to extract the flutter derivatives of bridge decks from the buffeting test results.
The paper reviews the emergence of this subject as a specific topic within the larger discipline of system identification, the major progress accomplished over the last 15 years and its practical impact, as well as the remaining open problems.
For the system identification, the tailings valve opening is subjected to a pseudo-random ternary signal and response of the interface level is recorded over a period of time.
The lack of information on multi-scale responses of the structure at all its key locations may hamper subsequently the accuracy of system identification, the reliability of damage detection or the effectiveness of structural control.
It is shown that, from a few simple input signals with desirable properties for system identification, the use of aggregation and maximum-length sequences in Galois fields facilitates the creation of large numbers of input signals with the same properties but with a wider range of periods.
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This kind of numerical model offers good perspectives for the systems identification, the simulation of the systems, the design and the optimization of process control, etc.
In this study, the OL estimator is designed based on the system identification of the actuator unit.
One of the distinctive aspects of these two contributions is the usage of different models for system identification between the parameters and the corresponding quality index.
The tendon reflex gain was the system gain calculated through system identification, relating the input of tapping force to the output of the reflex-mediated torque response.
In the current system identification problem, the system response, as described in (2), is a convolution of the input and the impulse-response of the system.
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