Seite - III - in 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
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Titel
- Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
- Autor
- Yiming Sun
- Verlag
- KIT Scientific Publishing
- Ort
- Karlsruhe
- Datum
- 2016
- Sprache
- englisch
- Lizenz
- CC BY-SA 3.0
- ISBN
- 978-3-7315-0467-2
- Abmessungen
- 14.8 x 21.0 cm
- Seiten
- 260
- Schlagwörter
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Kategorie
- Technik