A Local Direct Method for Module Identification in Dynamic Networks With Correlated Noise

DOI10.1109/TAC.2020.3035634OpenAlexW3095194325MaRDI QIDQ5033815

Karthik Raghavan Ramaswamy, Van den Hof, Paul M. J.

Publication date: 24 February 2022

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.00976

Mathematics Subject Classification ID

Systems theory; control (93-XX)

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A scalable multi-step least squares method for network identification with unknown disturbance topology ⋮ A frequency domain approach for local module identification in dynamic networks ⋮ Learning linear modules in a dynamic network using regularized kernel-based methods ⋮ Optimal excitation and measurement pattern for cascade networks ⋮ Topology identification of sparse network: a stochastic variational Bayesian approach ⋮ Generic identifiability of subnetworks in a linear dynamic network: the full measurement case ⋮ Sparse estimation in linear dynamic networks using the stable spline horseshoe prior

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