Furnace Temperature Control based on Adaptive TS-FNN for Municipal Solid Waste Incineration Process
Author:
Affiliation:
1. Beijing University of Technology,Faculty of Information Technology,Beijing,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Beijing Municipality
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327070.pdf?arnumber=10327070
Reference22 articles.
1. Adaptive Control System of Overheating Temperature Based on Neural Network Online Learning;liu;Journal of Chinese Electrical Engineering in Chinese,2004
2. An adaptive fuzzy approach for the incineration temperature control process
3. Furnace Temperature Control Method for Municipal Solid Waste Incineration Process Based on ET-RBF-PID;he;Control theory and application China,2022
4. Modeling and Control of Furnace Temperature in Municipal Solid Waste Incineration Process;he;Control Engineering,2022
5. Supervisory adaptive dynamic RBF-based neural-fuzzy control system design for unknown nonlinear systems
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