activity
20182024
most citedA scalable multi-step least squares method for network identification with unknown disturbance topology

10 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2024

Data-informativity conditions for structured linear systems with implications for dynamic networks

Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken +3

When estimating a single subsystem (module) in a linear dynamic network with a prediction error method, a data-informativity condition needs to be satisfied for arriving at a consi…

eess.SY2022

Learning linear modules in a dynamic network with missing node observations

Karthik R. Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof

In order to identify a system (module) embedded in a dynamic network, one has to formulate a multiple-input estimation problem that necessitates certain nodes to be measured and in…

eess.SY2021★ 10 cited

A scalable multi-step least squares method for network identification with unknown disturbance topology

Stefanie J. M. Fonken, Karthik R. Ramaswamy, Paul M. J. Van den Hof

Identification methods for dynamic networks typically require prior knowledge of the network and disturbance topology, and often rely on solving poorly scalable non-convex optimiza…

eess.SY2021

A frequency domain approach for local module identification in dynamic networks

Karthik R. Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens +1

In classical approaches of dynamic network identification, in order to identify a system (module) embedded in a dynamic network, one has to formulate a Multi-input-Single-output (M…

eess.SY2020

Learning linear modules in a dynamic network using regularized kernel-based methods

Karthik R. Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof

In order to identify one system (module) in an interconnected dynamic network, one typically has to solve a Multi-Input-Single-Output (MISO) identification problem that requires id…

eess.SY2019

A local direct method for module identification in dynamic networks with correlated noise

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

The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module…

eess.SY2018

Local module identification in dynamic networks with correlated noise: the full input case

Paul M. J. Van den Hof, Karthik R. Ramaswamy, Arne G. Dankers +1

The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module…