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Erschienen in:
2022 | OriginalPaper | Buchkapitel
6. Vibration Control in Meta-Structures Using Reinforcement Learning
verfasst von : D. Mehta, Vijaya V. N. Sriram Malladi
Erschienen in: Special Topics in Structural Dynamics & Experimental Techniques, Volume 5
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Abstract
This chapter considers using reinforcement learning (RL) to adaptively tune frequency response functions of meta-structures. RL algorithm tunes the stiffness of the spring of the lumped multi-DOF system, as the lumped mass is varied. As some of the lumped masses are modified by 10%, the spring’s stiffness is tuned to maintain the original bandgap. A Q-Learning algorithm is used for RL, wherein the Q-value is updated based on Bellman’s equation. The results compare the frequency response functions of the terminal masses of the baseline and varied mass structure.