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The improved approach can be used for system identification of both linear and nonlinear structures.
Approaches such as Bayesian inference are widely used for system identification.
A Goal programming algorithm is used for system identification to make the simplified model.
Three independent but complementary output-only modal identification techniques are used for system identification.
Since different types of communication signals feature different cycle frequencies, this information can be used for system identification.
Second, based on an efficient algorithm used for system identification purpose, a readout unit for multiple sensors is proposed.
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The free decays obtained from RD have been used for system modal identification using eigen-system realization algorithm (ERA).
Finite element method is used for the system identification as well as the structural analysis.
Many successful applications have shown that neural networks provide an attractive alternative tool for time series modelling, among them the RBFNN model is wildly used for nonlinear system identification.
As such, the only methods that can be used for parametric system identification are those based on fitting experimental data to an approximate solution, typically derived via perturbation methods and/or Galerkin methods, of a reduced-order model.
Also, whereas previous papers have used full factorial design for system identification, here CCDI is used.
More suggestions(15)
used for system reliability
used for system evaluation
used for system operation
used for immunofluorescence identification
used for system architecting
used for system analysis
used for confounder identification
used for system optimization
used for system verification
used for compound identification
used for system frequency
used for carrier identification
used for system modeling
used for phase identification
used for system control
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