Seite - 152 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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5. ExperimentalResults
0 2 0 0 4 0 0 6 0 0 8 0 0 1 0 0
03
0
4 0
5 0
6 0
T i m e ( s )
1 - s t e p p r e d i c t i o n o f S W B P
R e a l t e m p e r a t u r e
0 . 1
1
(c)One-steppredictionresultsofSWBP.
Figure5.15. One-steppredictionresultsof threealgorithms.
0 5 0 1 0 0 1 5 0 2 0
03
0
4 0
5 0
6 0
7 0
T i m e ( s )
R e a l T e m p e r a t u r
eE
x t e n d e d K a l m a n F i l t e
rB
a c k p r o p a g a t i o n w i t h M o m e n t u
mS
l i d i n g W i n d o w B a c k p r o p a g a t i o n
(a)Validationusingthenewexperimentaldata.
Amongthesethreealgorithms,EKFhastheminimumvalidationerror,
which means its true estimation accuracy is the highest. Meanwhile,
its prediction accuracy and execution time are also acceptable. Due
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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