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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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ListofSymbols ∇ Gradientoperator ∂ Partialderivativeoperator d Ordinaryderivativeoperator || || Euclideannormofvectors AT Transposeofvector/matrix −→ex/y/z UnitvectorofaCartesiancoordinatesystemin thex/y/z-direction Intheelectromagneticheatingpart(chapter 2),scalarsarerepresented by normal symbols and vectors are represented by capital bold sym- bolswitharrows. −→ E Electricfield V/m −→ D Electricdisplacement C/m2 −→ H Magneticfieldstrength A/m −→ B Magneticfluxdensity T −→ Jr Freecurrentdensity A/m2 ρf Freechargedensity C/m3 ω Angular frequency rad/s f Operatingfrequency Hz fn Resonant frequencyfor themoden inamicrowaveapplicator Hz Qn Quality factor for themoden ina microwaveapplicator unitless iii
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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
Author
Yiming Sun
Publisher
KIT Scientific Publishing
Location
Karlsruhe
Date
2016
Language
English
License
CC BY-SA 3.0
ISBN
978-3-7315-0467-2
Size
14.8 x 21.0 cm
Pages
260
Keywords
MikrowellenerwĂ€rmung, MehrgrĂ¶ĂŸenregelung, ModellprĂ€diktive Regelung, KĂŒnstliches neuronales Netz, BestĂ€rkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources