Projects per year
Personal profile
Research profile
Karthik Raghavan was born in Chennai, India in 1989. He received his Bachelor of Engineering in Electrical and Electronics in 2011 from Anna University, India. He worked as Control & Automation engineer at Larsen & Toubro for 4 years after his bachelors. During the period of his work he completed his MBA degree. In 2017, he received his M.Sc. degree in Systems and Control (with great appreciation) at Eindhoven University of Technology. His M.Sc. thesis, entitled “Improved sampling for ensemble based reservoir optimization with and without uncertainty” was supervised by prof.dr.ir. P.M.J. Van den Hof. Currently, Karthik is working on the project System Identification in Dynamic Networks (SYSDYNET) as a PhD candidate under supervision of prof.dr.ir. P.M.J. Van den Hof at TU/e.
Education/Academic qualification
Mechanical engineering, Master, Eindhoven University of Technology
Award Date: 31 Aug 2017
Business administration, Master
Award Date: 12 May 2014
Electrical engineering, Bachelor, Anna University
Award Date: 11 Apr 2011
Network
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Projects
- 1 Finished
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SYSDYNET: Data-Driven Modeling in Dynamic Networks
Van den Hof, P. M. J., Haesaert, S., Kivits, E. M. M., Weiland, S., Lazar, M., Donkers, M. C. F., Tóth, R., Steentjes, T. R. V., Ramaswamy, K., Ludlage, J. H. A., Dreef, H. J., Cheng, X., Nawijn, H., van der Hagen, D., Fonken, S. J. M. & Shi, S.
1/09/16 → 31/08/22
Project: Research direct
Research output
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A frequency domain approach for local module identification in dynamic networks
Raghavan Ramaswamy, K., Csurcsia, P. Z., Schoukens, J. & Van den Hof, P. M. J., Aug 2022, In: Automatica. 142, 8 p., 110370.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Citations (Scopus)18 Downloads (Pure) -
A guide to learning modules in a dynamic network
Ramaswamy, K. R., 3 May 2022, Eindhoven: Eindhoven University of Technology. 297 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile238 Downloads (Pure) -
A scalable multi-step least squares method for network identification with unknown disturbance topology
Fonken, S. J. M., Ramaswamy, K. & Van den Hof, P. M. J., 1 Jul 2022, In: Automatica. 141, 13 p., 110295.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile15 Downloads (Pure) -
Learning local modules in dynamic networks without prior topology information
Rajagopal, V. C., Ramaswamy, K. R. & Van Den Hof, P. M. J., 1 Feb 2022, 2021 60th IEEE Conference on Decision and Control (CDC). Institute of Electrical and Electronics Engineers, p. 840-845 6 p. 9683377Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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A local direct method for module identification in dynamic networks with correlated noise
Ramaswamy, K. R. & van Den Hof, P. M. J., 1 Nov 2021, In: IEEE Transactions on Automatic Control. 66, 11, p. 5237-5252 16 p.Research output: Contribution to journal › Article › Academic › peer-review
12 Citations (Scopus)1 Downloads (Pure)
Thesis
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Improved sampling for ensemble-based reservoir optimization with and without uncertainty
Author: Ramaswamy, K. R., 2017Supervisor: Van den Hof, P. M. J. (Supervisor 1), Fonseca, R. M. (External person) (Supervisor 1), Leeuwenburgh, O. (External person) (Supervisor 1), Grammatico, S. (Supervisor 1) & Siraj, M. M. (Supervisor 1)
Student thesis: Master
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