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Karthik Raghavan Ramaswamy
Karthik Raghavan Ramaswamy
PhD (cum laude), ASML Research - Mechatronics and Control
Bestätigte E-Mail-Adresse bei tue.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A local direct method for module identification in dynamic networks with correlated noise
KR Ramaswamy, PMJ Van den Hof
IEEE Transactions on Automatic Control 66 (11), 5237-5252, 2020
582020
Local module identification in dynamic networks using regularized kernel-based methods
KR Ramaswamy, G Bottegal, PMJ Van den Hof
2018 IEEE Conference on Decision and Control (CDC), 4713-4718, 2018
342018
Learning linear modules in a dynamic network using regularized kernel-based methods
KR Ramaswamy, G Bottegal, PMJ Van den Hof
Automatica 129, 109591, 2021
302021
Local module identification in dynamic networks with correlated noise: the full input case
PMJ Van den Hof, KR Ramaswamy, AG Dankers, G Bottegal
58th IEEE Conf. on Decision and Control (CDC), 2019
252019
Generalized sensing and actuation schemes for local module identification in dynamic networks
KR Ramaswamy, PMJ Van den Hof, AG Dankers
58th IEEE Conf. on Decision and Control (CDC), 2019
192019
A frequency domain approach for local module identification in dynamic networks
KR Ramaswamy, PZ Csurcsia, J Schoukens, PMJ Van den Hof
Automatica 142, 110370, 2022
182022
A scalable multi-step least squares method for network identification with unknown disturbance topology
SJM Fonken, KR Ramaswamy, PMJ Van den Hof
Automatica 141, 110295, 2022
182022
Path-based data-informativity conditions for single module identification in dynamic networks
PMJ Van den Hof, KR Ramaswamy
2020 59th IEEE Conference on Decision and Control (CDC), 4354-4359, 2020
172020
A local direct method for module identification in dynamic networks with correlated noise
KR Ramaswamy, PMJ Van den Hof
arXiv preprint arXiv:1908.00976, 2019
122019
Improved sampling strategies for ensemble-based optimization
KR Ramaswamy, RM Fonseca, O Leeuwenburgh, MM Siraj, ...
Computational Geosciences 24, 1057-1069, 2020
82020
Learning local modules in dynamic networks
PMJ Van den Hof, KR Ramaswamy
Learning for Dynamics and Control, 176-188, 2021
72021
Learning local modules in dynamic networks without prior topology information
VC Rajagopal, KR Ramaswamy, PMJ Van den Hof
2021 60th IEEE Conference on Decision and Control (CDC), 840-845, 2021
62021
Integrating data-informativity conditions in predictor models for single module identification in dynamic networks
PMJ Van den Hof, KR Ramaswamy, SJM Fonken
IFAC-PapersOnLine 56 (2), 2377-2382, 2023
52023
A regularized kernel-based method for learning a module in a dynamic network with correlated noise
VC Rajagopal, KR Ramaswamy, PMJ Van den Hof
2020 59th IEEE Conference on Decision and Control (CDC), 4348-4353, 2020
42020
Local identification in dynamic networks using a multi-step least squares method
SJM Fonken, KR Ramaswamy, PMJ Van Den Hof
2023 62nd IEEE Conference on Decision and Control (CDC), 431-436, 2023
32023
A guide to learning modules in a dynamic network
KR Ramaswamy
32022
A simplified frequency domain approach for local module identification in dynamic networks
PZ Csurcsia, K Ramaswamy, J Schoukens, P van den Hof
Event29th European Research Network on System Identification Workshop, 2021
22021
A local direct method for module identification in dynamic networks with correlated noise. Submitted for publication
KR Ramaswamy, PMJ Van den Hof
arXiv preprint ArXiv:1908.00976, 2019
22019
Learning linear modules in a dynamic network with missing node observations
KR Ramaswamy, G Bottegal, PMJ Van den Hof
arXiv preprint arXiv:2208.10995, 2022
12022
Single module identification in dynamic networks-the current status
PMJ Van den Hof, KR Ramaswamy
Preprints 21st IFAC World Congress, 52-55, 2020
12020
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