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ORCIDKarthik Raghavan Ramaswamy
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2020 – today
- 2024
[i7]Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers:
Data-informativity conditions for structured linear systems with implications for dynamic networks. CoRR abs/2409.03883 (2024)- 2023
- [c8]Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
:
Local Identification in Dynamic Networks using a Multi-Step Least Squares Method. CDC 2023: 431-436 - 2022
- [j4]Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A scalable multi-step least squares method for network identification with unknown disturbance topology. Autom. 141: 110295 (2022) - [j3]Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof:
A frequency domain approach for local module identification in dynamic networks. Autom. 142: 110370 (2022) - [i6]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network with missing node observations. CoRR abs/2208.10995 (2022) - 2021
- [j2]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network using regularized kernel-based methods. Autom. 129: 109591 (2021) - [j1]Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A Local Direct Method for Module Identification in Dynamic Networks With Correlated Noise. IEEE Trans. Autom. Control. 66(11): 5237-5252 (2021) - [c7]Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
Learning local modules in dynamic networks without prior topology information. CDC 2021: 840-845 - [c6]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy:
Learning local modules in dynamic networks. L4DC 2021: 176-188 - [i5]Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof:
A frequency domain approach for local module identification in dynamic networks. CoRR abs/2105.10901 (2021) - [i4]Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A scalable multi-step least squares method for network identification with unknown disturbance topology. CoRR abs/2106.07548 (2021) - 2020
- [c5]Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A regularized kernel-based method for learning a module in a dynamic network with correlated noise. CDC 2020: 4348-4353 - [c4]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy:
Path-based data-informativity conditions for single module identification in dynamic networks. CDC 2020: 4354-4359 - [i3]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network using regularized kernel-based methods. CoRR abs/2005.06266 (2020)
2010 – 2019
- 2019
- [c3]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal:
Local module identification in dynamic networks with correlated noise: the full input case. CDC 2019: 5494-5499 - [c2]Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers:
Generalized sensing and actuation schemes for local module identification in dynamic networks. CDC 2019: 5519-5524 - [i2]Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A local direct method for module identification in dynamic networks with correlated noise. CoRR abs/1908.00976 (2019) - 2018
- [c1]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods. CDC 2018: 4713-4718 - [i1]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal:
Local module identification in dynamic networks with correlated noise: the full input case. CoRR abs/1809.07502 (2018)
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