Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement lear...

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Bibliographic Details
Main Author: Sun, Yiming (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2016
Series:Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity. 
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546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a Bestärkendes Lernenmicrowave heating 
653 |a Künstliches neuronales Netz 
653 |a Mehrgrößenregelung 
653 |a Mikrowellenerwärmung 
653 |a multiple-input multiple-output (MIMO) 
653 |a Modellprädiktive Regelung 
653 |a neural network 
653 |a model predictive control (MPC) 
653 |a reinforcement learning 
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