3 papers
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…