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: | Online |
| Jezik: | angleščina |
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KIT Scientific Publishing
2021
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| Online dostop: | 35705 |
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| _version_ | 1869515817166569472 |
|---|---|
| author | Sun, Yiming |
| author_browse | Sun, Yiming |
| author_facet | Sun, Yiming |
| author_sort | Sun, Yiming |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-40109 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-401092024-04-09T23:16:24Z Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources Sun, Yiming T1-995 Bestärkendes Lernenmicrowave heating Künstliches neuronales Netz Mehrgrößenregelung Mikrowellenerwärmung multiple-input multiple-output (MIMO) Modellprädiktive Regelung neural network model predictive control (MPC) reinforcement learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2021-02-11T07:42:05Z 2021-02-11T07:42:05Z 2019-07-30 20:02:02 2016 book 35705 21922764 9783731504672 https://directory.doabooks.org/handle/20.500.12854/40109 eng Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731504672 KIT Scientific Publishing 10.5445/KSP/1000051503 10.5445/KSP/1000051503 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731504672 XIII, 231 p. open access |
| spellingShingle | T1-995 Bestärkendes Lernenmicrowave heating Künstliches neuronales Netz Mehrgrößenregelung Mikrowellenerwärmung multiple-input multiple-output (MIMO) Modellprädiktive Regelung neural network model predictive control (MPC) reinforcement learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Sun, Yiming Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| title | Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| title_full | Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| title_fullStr | Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| title_full_unstemmed | Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| title_short | Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| title_sort | adaptive and intelligent temperature control of microwave heating systems with multiple sources |
| topic | T1-995 Bestärkendes Lernenmicrowave heating Künstliches neuronales Netz Mehrgrößenregelung Mikrowellenerwärmung multiple-input multiple-output (MIMO) Modellprädiktive Regelung neural network model predictive control (MPC) reinforcement learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 Bestärkendes Lernenmicrowave heating Künstliches neuronales Netz Mehrgrößenregelung Mikrowellenerwärmung multiple-input multiple-output (MIMO) Modellprädiktive Regelung neural network model predictive control (MPC) reinforcement learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 35705 |
| work_keys_str_mv | AT sunyiming adaptiveandintelligenttemperaturecontrolofmicrowaveheatingsystemswithmultiplesources |