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.
Constructing second-order models of mechanical systems from identified state space realizations. part i: theoretical discussions
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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.