Karthik Raghavan Ramaswamy
Title
Cited by
Cited by
Year
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
212018
A local direct method for module identification in dynamic networks with correlated noise
KR Ramaswamy, PMJ Vandenhof
IEEE Transactions on Automatic Control, 2020
152020
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
122019
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
92019
Path-based data-informativity conditions for single module identification in dynamic networks
PMJ Van den Hof, KR Ramaswamy
59th IEEE Conf. Decision and Control, Jeju Island, Republic of Korea, 2020
32020
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 IEEE Conference on Decision and Control (CDC). IEEE, 2020
22020
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
Improved sampling strategies for ensemble-based optimization
KR Ramaswamy, RM Fonseca, O Leeuwenburgh, MM Siraj, ...
Computational Geosciences 24 (3), 1057-1069, 2020
2020
Learning linear modules in a dynamic network using regularized kernel-based methods
KR Ramaswamy, G Bottegal, PMJ Van den Hof
arXiv preprint arXiv:2005.06266, 2020
2020
Learning local modules in dynamic networks
PMJ Van den Hof, KR Ramaswamy
Proceedings of Machine Learning Research vol xxx 1 (13), 2021, 0
An iterative algorithm for learning dynamic networks with correlated noise
VC Rajagopal, KR Ramaswamy, PMJ Van den Hof
Single module identification in dynamic networks-the current status⋆
P Van den Hof, K Ramaswamy
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Articles 1–12