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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Format: | Book Chapter |
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KIT Scientific Publishing
2016
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 01809naaaa2200337uu 4500 | ||
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001 | doab_20_500_12854_40109 | ||
005 | 20210211 | ||
020 | |a KSP/1000051503 | ||
020 | |a 9783731504672 | ||
024 | 7 | |a 10.5445/KSP/1000051503 |c doi | |
041 | 0 | |a English | |
042 | |a dc | ||
100 | 1 | |a Sun, Yiming |4 auth | |
245 | 1 | 0 | |a Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
260 | |b KIT Scientific Publishing |c 2016 | ||
300 | |a 1 electronic resource (XIII, 231 p. p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
546 | |a English | ||
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731504672 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/40109 |7 0 |z DOAB: description of the publication |