LEADER 02067nam  2200445z- 450 
001 9910346774803321
005 20210211
010   $a1000051503
035   $a(CKB)4920000000100775
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40109
035   $a(oapen)doab40109
035   $a(EXLCZ)994920000000100775
100   $a20202102d2016      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$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
906   $aBOOK
912   $a9910346774803321
996   $aAdaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources$93034975
997   $aUNINA