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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| Superior document: | Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik |
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| Year of Publication: | 2016 |
| Language: | English |
| Series: | Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik
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| Physical Description: | 1 electronic resource (XIII, 231 p. p.) |
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| Summary: | 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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| ISBN: | 1000051503 |
| Access: | Open access |
| Hierarchical level: | Monograph |