| 000 | 01892naaaa2200349uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/40109 | ||
| 005 | 20220220081618.0 | ||
| 020 | _aKSP/1000051503 | ||
| 020 | _a9783731504672 | ||
| 024 | 7 |
_a10.5445/KSP/1000051503 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aSun, Yiming _4auth |
|
| 245 | 1 | 0 | _aAdaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources |
| 260 |
_bKIT Scientific Publishing _c2016 |
||
| 300 | _a1 electronic resource (XIII, 231 p. p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aIn 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 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-sa/4.0/ _2cc _4https://creativecommons.org/licenses/by-sa/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _aBestärkendes Lernenmicrowave heating | ||
| 653 | _aKünstliches neuronales Netz | ||
| 653 | _aMehrgrößenregelung | ||
| 653 | _aMikrowellenerwärmung | ||
| 653 | _amultiple-input multiple-output (MIMO) | ||
| 653 | _aModellprädiktive Regelung | ||
| 653 | _aneural network | ||
| 653 | _amodel predictive control (MPC) | ||
| 653 | _areinforcement learning | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://www.ksp.kit.edu/9783731504672 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/40109 _70 _zDOAB: description of the publication |
| 999 |
_c75442 _d75442 |
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