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...

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Bibliographic Details
Main Authors: Yi-Liang Yeh, Po-Kai Yang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/9/12/319