Projects per year
Personal profile
Research profile
Currently, Lizan is working as a Doctoral Candidate in the Control Systems Group at Eindhoven University of Technology (TU/e). She is working on the project System Identification in Dynamic Networks (SYSDYNET), under supervision of Full Professor Paul Van den Hof. The topic of her part of the research concerns modelling and identification of physical networks.
One part of her research is on different modelling frameworks for and representations of dynamic networks. The second part of her research is on modelling and identification of diffusively coupled networks.
Quote
To quote Albert Einstein: 'In the middle of difficulty lies opportunity.'
Academic background
Lizan Kivits received her bachelor’s degree in Electrical Engineering and her master’s degree in Systems and Control (with great appreciation) from Eindhoven University of Technology, Eindhoven, The Netherlands, in 2014 and 2017, respectively. Her master thesis was entitled “Control Relevant Model Reduction for Disturbance Decoupling” and was supervised by Full Professor Siep Weiland. In June 2017 she started as a researcher in the Control Systems research group at the Department of Electrical Engineering, Eindhoven University of Technology. As of July 2018, she continued as a Ph.D. researcher in this research group. Her research interests include first-principles modelling, data-driven modelling, and dynamic network identification.
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
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Local identification in diffusively coupled linear networks
Kivits, E. M. M. & Van den Hof, P. M. J., 10 Jan 2023, 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers, p. 874-879 6 p. 9993111Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Identifiability of diffusively coupled linear networks with partial instrumentation
Kivits, E. M. M. & Van den Hof, P. M. J., 10 Nov 2022, (Submitted) 2023 22st IFAC World Congress. IFACResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic
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Identification of diffusively coupled linear networks through structured polynomial models
Kivits, E. M. M. & Van den Hof, P. M. J., 18 Jul 2022, (E-pub ahead of print) In: IEEE Transactions on Automatic Control. XX, X, 16 p.Research output: Contribution to journal › Article › Academic › peer-review
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A dynamic network approach to identification of physical systems
Kivits, E. M. M. & Van den Hof, P. M. J., 11 Dec 2019, 2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers, p. 4533-4538 6 p. 9030041. (Proceedings of the IEEE Conference on Decision and Control; vol. 2019-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Citations (Scopus)100 Downloads (Pure) -
Constrained order observer design for disturbance decoupled output estimation
Merks, R. W. H., Kivits, E. M. M. & Weiland, S., Jan 2019, In: IEEE Control Systems Letters. 3, 1, p. 49-54 6 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)144 Downloads (Pure)
Thesis
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Control relevant model reduction for disturbance decoupling
Author: Kivits, E. M. M., 23 Feb 2017Supervisor: Weiland, S. (Supervisor 1) & Merks, R. W. H. (Supervisor 2)
Student thesis: Master