Karthik Raghavan Ramaswamy

According to our database, Karthik Raghavan Ramaswamy authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers

CoRR, 2024

2023

Local Identification in Dynamic Networks using a Multi-Step Least Squares Method.

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

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Learning linear modules in a dynamic network with missing node observations.

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

CoRR, 2022

A frequency domain approach for local module identification in dynamic networks.

Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof

Autom., 2022

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

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

Autom., 2022

2021

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

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

IEEE Trans. Autom. Control., 2021

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

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

Autom., 2021

Learning local modules in dynamic networks.

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

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Learning local modules in dynamic networks without prior topology information.

Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A regularized kernel-based method for learning a module in a dynamic network with correlated noise.

Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Path-based data-informativity conditions for single module identification in dynamic networks.

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

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Generalized sensing and actuation schemes for local module identification in dynamic networks.

Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

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

Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods.

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

Proceedings of the 57th IEEE Conference on Decision and Control, 2018