Minimal excitation and measurement patterns for tree networks are selected via partial information matrices to optimize estimation accuracy, with module accuracy depending on parameter magnitudes in cross trees.
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Optimal excitation and measurement patterns for networks with tree topology
Minimal excitation and measurement patterns for tree networks are selected via partial information matrices to optimize estimation accuracy, with module accuracy depending on parameter magnitudes in cross trees.