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This gives rise to the problem of sensitivity of a distributed structure to model order in feedback control.
A numerical example demonstrates the sensitivity of the closed-loop poles to model order in feedback control of a distributed structure.
A model order of 16 was used, since we obtained best results with this model order in previous MEG-BCI experiments.
The largest drop based model order determination method has been applied to select the appropriate model order in subspace identification method.
For example, sparsification algorithms make growth sublinear but cannot constrain network size (model order) in a predefined range in nonstationary environments.
We also inspected change in discriminatory information as a function of model order in each analysis window (see Figure 8(b)).
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The Jaeger-LeCoultre archives, for instance, include a Reverso model ordered in October 1936 for King Edward VIII of Britain.
The resulted model order is shown in Table 1.
where the model order is also estimated in the process.
Therefore, the model order selection is studied in this section.
The model order of autoregressive models used in GPDC was defined according to the Schwarz's Bayesian criterion.
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