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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 )
R e a l t e m p e r a t u r e T
1R
e a l t e m p e r a t u r e T
21
- s t e p p r e d i c t i o n o f T
11
- s t e p p r e d i c t i o n o f T 2
0 .0 1
0 .1
1
(c) Onesteppredictionsof linearMISORLS.
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 )
R e a l t e m p e r a t u r e T
1R
e a l t e m p e r a t u r e T
21
- s t e p p r e d i c t i o n o f T
11
- s t e p p r e d i c t i o n o f T 2
0 .0 1
0 .1
1
(d)Onesteppredictionsof linearMIMORKF.
Figure5.13. One-step prediction performance of four different system identi-
ficationalgorithms.
148
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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