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Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk

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Research data for: "Semi-Active Control of a Shear Building based on Reinforcement Learning: Robustness to measurement noise and model error"

Version 1.0

Jedlińska, Aleksandra; Pisarski, Dominik; Mikułowski, Grzegorz; Błachowski, Bartłomiej; Jankowski, Łukasz, 2024, "Research data for: "Semi-Active Control of a Shear Building based on Reinforcement Learning: Robustness to measurement noise and model error"", https://doi.org/10.18150/BYAOT8, RepOD, V1

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Description

This dataset contains the definition of the structure used for preparation of the publication:

Jedlińska A., Pisarski D., Mikułowski G., Błachowski B., Jankowski Ł., Semi-Active Control of a Shear Building based on Reinforcement Learning: Robustness to measurement noise and model error, FedCSIS 2023, 18th Conference on Computer Science and Intelligence Systems, 2023-09-17/09-20, Warsaw (PL), pp.1001-1004, 2023. https://doi.org/10.15439/2023F8946

This research has been supported by the National Science Centre, Poland, under grant agreement 2020/39/B/ST8/02615.

The structure definition files are in the txt/CSV format, and they have been exported using the Wolfram Mathematica environment. The model error and measurement noise files are in the JSON format, and they have been generated using the Python programming language.

Subject

Computer and Information Science; Engineering

Keyword

structural control, semi-active control, reinforcement learning, tuned mass damper (TMD)

Related Publication

Jedlińska A., Pisarski D., Mikułowski G., Błachowski B., Jankowski Ł., Semi-Active Control of a Shear Building based on Reinforcement Learning: Robustness to measurement noise and model error, FedCSIS 2023, 18th Conference on Computer Science and Intelligence Systems, 2023-09-17/09-20, Warsaw (PL), pp.1001-1004, 2023. https://doi.org/10.15439/2023F8946 doi: 10.15439/2023F8946

License

CC0 Creative Commons Zero 1.0

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1 to 9 of 9 Files

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		numbering-of-DOFs.txt Plain Text - 247 B - Mar 20, 2024 - 1 Download MD5: 69e54774fcda85160e5fd0794c76894c License: CC0 Creative Commons Zero 1.0 Numbering of DOFs for the numerical model.	Preview Download
		matrix_mass.csv Comma Separated Values - 503 B - Mar 20, 2024 - 1 Download MD5: 7b2d5eb2beb9840399fd43965a5c9820 License: CC0 Creative Commons Zero 1.0 Mass matrix M in Eq.1.	Preview Download
		matrix_stiffness.csv Comma Separated Values - 602 B - Mar 20, 2024 - 1 Download MD5: a04bd99b8946515b9da1fcc179ef2c54 License: CC0 Creative Commons Zero 1.0 Stiffness matrix K in Eq.1.	Preview Download
		matrix_damping_0.csv Comma Separated Values - 1.0 KB - Mar 20, 2024 - 1 Download MD5: 4ff9ffc6fb53c834cd5ce6eef89bde8f License: CC0 Creative Commons Zero 1.0 Damping matrix C of the controlled structure with TMD damping off. Eq.1.	Preview Download
		matrix_damping_1.csv Comma Separated Values - 1.0 KB - Mar 20, 2024 - 1 Download MD5: 3187a6cbe404ce21c6e12ac5fb7e2562 License: CC0 Creative Commons Zero 1.0 Damping matrix C of the controlled structure with TMD damping on. Eq.1.	Preview Download
		matrix_damping_optimal_passive.csv Comma Separated Values - 1.0 KB - Mar 20, 2024 - 1 Download MD5: 247daed899d35942e7589f2c62abc624 License: CC0 Creative Commons Zero 1.0 Damping matrix C of the passive structure with optimally tuned passive TMD. Eq.1.	Preview Download
		vector_load_allocation.csv Comma Separated Values - 48 B - Mar 20, 2024 - 1 Download MD5: 04e952238e05880374ba892249e3ce81 License: CC0 Creative Commons Zero 1.0 Acceleration load allocation vector r in Eq.1.	Preview Download
		measurement-noise.json Unknown - 1.1 MB - Mar 20, 2024 - 0 Downloads MD5: 4175ba464085aca9ae6fa76b42bcbdcc License: CC0 Creative Commons Zero 1.0 Data used for plotting Fig.3: [noise level, RMS ratio sample]	Download
		model-error.json Unknown - 1.1 MB - Mar 20, 2024 - 0 Downloads MD5: 8d7ff70025c298f2287faeb2c367289c License: CC0 Creative Commons Zero 1.0 Data used for plotting Fig.4: [error level, RMS ratio sample]	Download

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