Design and Comparison of Reinforcement-Learning-Based Time-Varying PID Controllers with Gain-Scheduled Actions
This paper presents innovative reinforcement learning methods for automatically tuning the parameters of a proportional integral derivative controller. Conventionally, the high dimension of the Q-table is a primary drawback when implementing a reinforcement learning algorithm. To overcome the obstac...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/9/12/319 |