Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization

Author:

Wang Tianzheng,Tang Jian,Xia Heng,Aljerf Loai,Zhang Runyu,Tian Hao,Akele Mulugeta Legesse

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Elsevier BV

Reference45 articles.

1. Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions;Munir;Fuel,2023

2. Research status and prospects of intelligent optimization control for municipal solid waste incineration process;Tang;Acta Automatica Sinica,2023

3. Soft sensing method of dioxin emission in municipal solid waste incineration process based on broad hybrid forest regression;Xia;Acta Automatica Sinica,2023

4. A strategic review on sustainable approaches in municipal solid waste management andenergy recovery: Role of artificial intelligence, economic stability and life cycle assessment;Naveenkumar;Bioresource Technology,2023

5. Process control in municipal solid waste incinerators: Survey and assessment;Asri;Waste Management & Research,2004

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