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.
A practical method for the consistent identification of a module in a dynamical network
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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.