Development of an Adaptive Fuzzy-Neural Controller for Temperature Control in a Brick Tunnel Kiln

This research focuses on developing an adaptive fuzzy-neural control system to manage and maintain temperature in brick tunnel kilns. The problem is how to optimize performance and energy consumption in the brick production process. A control algorithm using a combination of a fuzzy logic system and...

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Veröffentlicht in:	Electronics (Basel) 2024-01, Vol.13 (2), p.342
Hauptverfasser:	Phan, Van Du, Nguyen, Xuan Hung, Dinh, Van Nam, Dang, Thai Son, Le, Van Chuong, Ho, Sy Phuong, Ta, Hung Cuong, Duong, Dinh Tu, Mai, The Anh
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive control Algorithms Analysis Artificial neural networks Bricks Control algorithms Control methods Control systems Control theory Controllers Efficiency Energy consumption Energy efficiency Environmental protection Fuzzy algorithms Fuzzy control Fuzzy logic Fuzzy sets Fuzzy systems Kilns Methods Neural networks Simulation Temperature control Tunnels
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