Seite - VII - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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[B(k)] Temperaturechangingmatrix
includingallBn,m(k)with
1≤m≤M and1≤n≤N K
Φn(k) Temperature increasingmatrixat
then-th location K
Ψ(k) Temperature increasingvectorof
MIMOform K
Incontrollerdesign:
J(k) Cost/objective functiontobeoptimizedat timek
[Γ] Positivedefinite tuningmatrixusedin thecost
function
Vci The i-th initializedcontrol sequence in theGA
algorithm
Yci PredictedtemperaturesusingV c
i
w Weightsvector/matrixusedin theNN
S(k) Thestateof theMDPat timek
R(k) Therewardreceivedfromtheplantat timek
pi(s,u) ControlpolicyusedinRL
Vpi(s) Thestatevalue functionunder thestatesusing
thepolicypi
Qpi(s,u) Thestate-actionvalue functionof thestate-action
pair (s,u)usingthepolicypi
∆td Thetemporarydifferenceerror
e(s,u) Theeligibility tracedefinedinRL
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ListofSymbols
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