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035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40109
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200 00$aAdaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
210   $cKIT Scientific Publishing$d2016
215   $a1 online resource (XIII, 231 p. p.)
225 1 $aKarlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik
311 08$a3-7315-0467-7 
330   $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.
606   $aTechnology: general issues$2bicssc
610   $aBesta?rkendes Lernenmicrowave heating
610   $aKu?nstliches neuronales Netz
610   $aMehrgro?ßenregelung
610   $aMikrowellenerwa?rmung
610   $amodel predictive control (MPC)
610   $aModellpra?diktive Regelung
610   $amultiple-input multiple-output (MIMO)
610   $aneural network
610   $areinforcement learning
615  7$aTechnology: general issues
700   $aSun$b Yiming$4auth$01322416
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996   $aAdaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources$93034975
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