A New Solution to the PID18 Challenge: Reinforcement-Learning-based PI Control-Reference-Cited by-同舟云学术

A New Solution to the PID18 Challenge: Reinforcement-Learning-based PI Control

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
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Author:

Wu Yuting¹,Xing Lantao²,Liu Xiao-Kang³,Guo Fanghong⁴

Affiliation:

1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore

2. Shandong Unvieristy,School of Control Science and Engineering,Jinan,China

3. Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074

4. Zhejiang University of Technology,Department of Automation,Hangzhou,China,310032

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033480.pdf?arnumber=10033480

Reference15 articles.

1. Hybrid model-based feedforward and fractional-order feedback control design for the benchmark refrigeration system;yuan;Industrial & Engineering Chemistry Research,2019

2. Coupled evolutionary tuning of PID Controllers for the Benchmark on Vapor Compression Refrigeration

3. Pid2018 benchmark challenge: Model predictive control with conditional integral control using a general purpose optimal control problem solver - riots;dehghan,2018

4. Model-free adaptive control for a vapour-compression refrigeration benchmark process;yu;3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control PID 2018,2018

5. Control of a Refrigeration System Benchmark Problem: An Approach based on COR Metaheuristic Algorithm and TOPSIS Method

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