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.
Identifiability of dy- namical networks with partial node measurements,
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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.