Page - III - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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ListofSymbols
â Gradientoperator
â Partialderivativeoperator
d Ordinaryderivativeoperator
|| || Euclideannormofvectors
AT Transposeofvector/matrix
ââex/y/z UnitvectorofaCartesiancoordinatesystemin
thex/y/z-direction
Intheelectromagneticheatingpart(chapter 2),scalarsarerepresented
by normal symbols and vectors are represented by capital bold sym-
bolswitharrows.
ââ
E Electricfield V/m
ââ
D Electricdisplacement C/m2
ââ
H Magneticfieldstrength A/m
ââ
B Magneticfluxdensity T
ââ
Jr Freecurrentdensity A/m2
Ïf Freechargedensity C/m3
Ï 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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book Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"
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, MehrgröĂenregelung, ModellprĂ€diktive Regelung, KĂŒnstliches neuronales Netz, BestĂ€rkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Category
- Technik