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Dive into the research topics where Shengling Shi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
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Single module identifiability in linear dynamic networks with partial excitation and measurement
Shi, S., Cheng, X. & Van den Hof, P. M. J., Jan 2023, In: IEEE Transactions on Automatic Control. 68, 1, p. 285-300 16 p.Research output: Contribution to journal › Article › Academic › peer-review
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Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks
Cheng, X., Shi, S. & Van den Hof, P. M. J., 1 Feb 2022, In: IEEE Transactions on Automatic Control. 67, 2, p. 692-705 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Citations (SciVal)25 Downloads (Pure) -
Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules
Dreef, H. J., Shi, S., Cheng, X., Donkers, M. C. F. & Van den Hof, P. M. J., 9 May 2022, In: IEEE Control Systems Letters. 6, p. 2587-2592 6 p., 9764800.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Downloads (Pure) -
Generic identifiability of subnetworks in a linear dynamic network: The full measurement case
Shi, S., Cheng, X. & Van den Hof, P. M. J., Mar 2022, In: Automatica. 137, 14 p., 110093.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Citations (Scopus)37 Downloads (Pure) -
Exploiting unmeasured disturbance signals in identifiability of linear dynamic networks with partial measurement and partial excitation
Shi, S., Cheng, X. & Van den Hof, P. M. J., 13 Jul 2021, Preprints, 19th IFAC Symposium on System Identification. p. 264-267 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
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Bayesian topology identification of linear dynamic networks
Shi, S. (Contributor), Bottegal, G. (Creator) & Van den Hof, P. M. J. (Contributor), Code Ocean, 19 Nov 2019
Dataset
Thesis
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Decentralized and distributed model predictive control of vehicle platoons
Author: Shi, S., 30 Mar 2017Supervisor: Van den Hof, P. M. J. (Supervisor 1), Lazar, M. (Supervisor 2) & Hofman, T. (Supervisor 2)
Student thesis: Master
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