Design of Adaptive PID Controller Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Design of Adaptive PID Controller Based on Deep Reinforcement Learning

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
language:
Short-container-title:

Author:

Yang Xinyuan¹

Affiliation:

1. Nanjing Normal University,School of Electrical and Automation Engineering,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351493/10351494/10351739.pdf?arnumber=10351739

Reference12 articles.

1. Adaptive tracking control method for ground unmanned vehicle traveling based on reinforcement learning compensation;Lianzhen;Journal of Ordnance Engineering,2022

2. Design of adaptive PI controller for superheated steam temperature based on reinforcement learning;Laibao;Journal of Jiangsu University: Natural Science Edition,2022

3. Design of AUV depth controller based on L1 adaptive theory;Jianghang;Chinese Ship Research,2021

4. Design of memristor PID adaptive control system based on varactor diode;Tiedong;Electronic Components and Materials,2021

5. Design of exoskeleton system based on neural network PID controller;Boyang;Computer Technology and Development,2022

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