2025_Mikułowski_SMART_semi-passive-frame-RL

Dataset for the conference report: Mikułowski G., Pisarski D., Popławski B., Jankowski Ł., Vibration attenuation in a semi-passive frame, SMART 2025, XI ECCOMAS Thematic Conference on Smart Structures and Materials, 3-5 July, 2025, Linz (Austria). The publiction is available as: https://hal.science/hal-05358228

This research has been supported by the National Science Centre, Poland, under grant agreement 2020/39/B/ST8/02615. The title of the project is "Reinforcement learning for semi-active structural control and decentralized mitigation of vibrations: development of new algorithms and assessment of of their efficiency". The aim of the project is the development and application of the machine learning techniques of reinforcement learning (RL) in tasks of semi-active structural control. The ultimate goal is the design of a framework that learns quasi-optimal control by itself in a repeated trial-and-error interactions with simulated structures.

The data files are in the txt/CSV format and correspond to the crucial Figures 4 and 5 in the original publication. Figure 4 data contain the PSD values coming from experimental measurements, while Figure 5 contains data that illustartes the control effectiveness in successive episodes, as described in the original publication.