Prediction error methods for linear polynomial models are configured for consistent identification of parameters and structure in diffusively coupled networks, solved via a multi-step least squares convex optimization algorithm.
Allocation of excitation signals for generic identifiability of linear dynamic networks,
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Identification of diffusively coupled linear networks through structured polynomial models
Prediction error methods for linear polynomial models are configured for consistent identification of parameters and structure in diffusively coupled networks, solved via a multi-step least squares convex optimization algorithm.