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


Abstract
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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Detail Information
Series Title
-
Call Number
-
Publisher
: ., 2016
Collation
-
Language
ISBN/ISSN
9783731504672
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
-
Specific Detail Info
-
Statement of Responsibility
Sun, Yiming
Other Information
Cataloger
Siti
Source
-
Validator
-
Digital Object Identifier (DOI)
https://directory.doabooks.org/handle/20.500.12854/40109
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
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