Seite - 226 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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A. Appendix
Using the above expression, equation A.14 can be further simplified
as
[Pne(k)] = ( [IM]− [Kn(k)][Jn(k)] )[
Pnp(k)
]−([Pnp(k)][Jn(k)]T
− [Kn(k)][Jn(k)][Pnp(k)][Jn(k)]T
−σ2 [Kn(k)] )
[Kn(k)]
T
= ( [IM]− [Kn(k)][Jn(k)] )[
Pnp(k)
]−[[Pnp(k)] [Jn(k)]T
− [Kn(k)]([Jn(k)][Pnp(k)][Jn(k)]T+σ2)][Kn(k)]T
= ( [IM]− [Kn(k)][Jn(k)] )[
Pnp(k)
]−([Pnp(k)][Jn(k)]T
−[Pnp(k)] [Jn(k)]T) [Kn(k)]T
= ( [IM]− [Kn(k)][Jn(k)] )[
Pnp(k)
]
(A.17)
Combining equations A.6, A.8, A.12, A.14 and A.16, the entire
updaterule inEKFis representedas in the following.
Predictionpart: [
Λnp(k)
]
= [Λne(k−1)]
,[
Pnp(k)
]
= [Pne(k−1)]+[Ω].
Estimationpart:
[Kn(k)] = [
Pnp(k) ]
[Jn(k)]
T (
[Jn(k)] [
Pnp(k) ]
[Jn(k)]
T +σ2 [I]
)−1
,
[Λne(k)] = [
Λnp(k)
]
+[Kn(k)] (
∆Ynr (k)−ΓT(k) [
Λnp(k) ]
Γ(k) )
,
[Pne(k)] = ( [IM]− [Kn(k)][Jn(k)] )[
Pnp(k)
]
,
with
[Jn(k)] = Γ(k)ΓT(k).
226
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