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An advantage of the system identification procedure is that it can operate on irregularly sampled data.
building with an optimal PTMD are identified using a specified system identification procedure.
This model is obtained experimentally by using a robust system identification procedure.
The system identification procedure involved requires the solution of an inverse problem, which usually leads to rather ill-conditioned formulations.
Intrinsic and reflexive contributions to low-back stiffness were estimated using a system identification procedure, leading to 12 parameters.
A system identification procedure is formulated for estimation of parameters associated with a dynamic model of a single-degree-of-freedom foam-mass system.
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The system identification procedures are also applied to experimental data from a foam mass system.
We propose the use of a GUI, especially suitable for use by beginners, to provide system identification procedures.
System identification procedures based on the direct non-linear optimization and a sub-optimal method are formulated to estimate the material parameters.
Conventional system identification procedures require that input data or at least an estimate of the input be used in the parameter estimation process.
However, beginners who are not familiar with MATLAB commands and system identification procedures sometimes find using it difficult, typically because there exist many different approaches to system identification.
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