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This two-part paper aims to present and discuss a novel methodology to perform the model structure selection of NARMAX polynomial models. The strategy called frequency orthogonality proposes a compartmentalized analysis of the candidate regressors, where the initial set is split into groups, each studied only at some frequency lines. This is possible due to the application of a proper odd-odd multisine...
This two-part paper aims to present and discuss a novel methodology to perform the model structure selection of NARMAX polynomial models. The strategy called frequency orthogonality proposes a compartmentalized analysis of the candidate regressors, where this initial set is split into groups each studied only at some frequency lines. This is possible due to the application of a proper odd-odd multisine...
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