Page - 224 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Image of the Page - 224 -
Text of the Page - 224 -
A. Appendix
The real measured/calculated ∆Ynr (k) can be approximated by its
Taylorseriesat [Λn(k)] = [
Λnp(k)
]
, suchas
∆Ynr (k) =Γ
T(k) [
Λnp(k) ]
Γ(k)+[Jn(k)] [ [Λn(k)]−[Λnp(k)]]+ ς(k)
+H.O.T.
≈ΓT(k)[Λnp(k)]Γ(k)+[Jn(k)][[Λn(k)]−[Λnp(k)]]+ ς(k)
≈ΓT(k)[Λnp(k)]Γ(k)+[Jn(k)][enp(k)]+ ς(k)
≈ΓT(k)[Λnp(k)]Γ(k)+[Jn(k)][[ene(k−1)]+[ε(k−1)]]
+ Ï‚(k),
(A.11)
whereH.O.T.standsforhigherorder termsand [Jn(k)] is theJacobian
matrixdefinedby
[Jn(k)] = ∂∆Ynr
∂ [Λn] ∣∣∣∣
[Λn(k)]=[Λnp(k)] = Γ(k)ΓT(k). (A.12)
Substituting the above expression A.11 into equation A.10, the esti-
mationerrormatrix is further transferred into
[ene(k)] = [Λ
n(k−1)]+[ε(k−1)]− [Λne(k−1)]
− [Kn(k)] [
∆Ynr (k)−ΓT(k) [
Λnp(k)
]
Γ(k) ]
= [Λn(k−1)]+[ε(k−1)]− [Λne(k−1)]− ς(k)[Kn(k)]
− [Kn(k)][Jn(k)][ [ene(k−1)]+[ε(k−1)]]
= [ene(k−1)]+[ε(k−1)]− ς(k)[Kn(k)]
− [Kn(k)][Jn(k)][ [ene(k−1)]+[ε(k−1)]]
= [ [IM]− [Kn(k)][Jn(k)] ][ [ene(k−1)]+[ε(k−1)] ]
− ς(k)[Kn(k)]
= [ [IM]− [Kn(k)][Jn(k)] ][
enp(k)
]− ς(k)[Kn(k)],
(A.13)
where [IM] is the identitymatrixwith thedimensionM×M.
224
back to the
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
- Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
- Category
- Technik