Adaptive PID Control of Furnace Temperature in MSWI Process Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Adaptive PID Control of Furnace Temperature in MSWI Process Based on Reinforcement Learning

Published:2024-05-25 Issue: Volume:34 Page:1957-1961
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
language:
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Author:

Tian Hao¹,Tang Jian¹,Xia Heng¹,Wang Tianzheng¹,Yu Wen²,Wu Zhiwei³

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China

2. CINVESTAV-IPN,Departamento de Control Automatico,Mexico City,Mexico

3. Northeastern University,State Key Laboratory of Synthetical Automation for Process Industries,Shenyang,China

Funder

National Science and Technology Major Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10588050.pdf?arnumber=10588050

Reference22 articles.

1. Research on the risk and countermeasures of ‘garbage siege’ in 31 municipalities directly under the Central Government and provincial capital cities in China - empirical research based on DIIS method;Chen;Journal of the Chinese Academy of Sciences,2019

2. Application of Fly Ash and Slag Generated by Incineration of Municipal Solid Waste in Concrete

3. Combustion States Recognition Method of MSWI process Based on Mixed Data Enhancement;Guo;Journal of Automation,2023

4. Research Status and Prospects of Intelligent Optimization Control for Municipal Solid Waste Incineration Process;Tang;Acta Automatica Sinica,2023

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