Karthik Raghavan Ramaswamy

Orcid: 0000-0003-1867-0857

According to our database1, Karthik Raghavan Ramaswamy authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Local Identification in Dynamic Networks using a Multi-Step Least Squares Method.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Learning linear modules in a dynamic network with missing node observations.
CoRR, 2022

A frequency domain approach for local module identification in dynamic networks.
Autom., 2022

A scalable multi-step least squares method for network identification with unknown disturbance topology.
Autom., 2022

2021
A Local Direct Method for Module Identification in Dynamic Networks With Correlated Noise.
IEEE Trans. Autom. Control., 2021

Learning linear modules in a dynamic network using regularized kernel-based methods.
Autom., 2021

Learning local modules in dynamic networks.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Learning local modules in dynamic networks without prior topology information.
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.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Path-based data-informativity conditions for single module identification in dynamic networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Generalized sensing and actuation schemes for local module identification in dynamic networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Local module identification in dynamic networks with correlated noise: the full input case.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018


  Loading...