Optimization of Graded Arrays of Resonators for Energy Harvesting in Sensors as a Markov Decision Process Solved via Reinforcement Learning

Optimization of Graded Arrays of Resonators for Energy Harvesting in Sensors as a Markov Decision Process Solved via Reinforcement Learning

The design optimization of the grading of a resonator array for energy harvesting in sensors is described. Attention is paid to set the resonator heights, possibly removing resonators whenever convenient. Instead of employing time-consuming heuristic approaches that require verifying the physical un...

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Bibliographic Details
Main Authors: Luca Rosafalco, Jacopo Maria De Ponti, Luca Iorio, Raffaele Ardito, Alberto Corigliano
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Engineering Proceedings
Subjects:
energy harvesting for sensors
metamaterials
reinforcement learning
Markov decision process
Online Access:https://www.mdpi.com/2673-4591/27/1/18

Internet

https://www.mdpi.com/2673-4591/27/1/18

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