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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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4.1. AdaptiveControl smaller than 1. Another simpler method is to randomly choose ∆i(k) to be either 1 or -1. Different methods of determining ∆i(k) canbeappliedaccordingly. • In the standard SPSA control system, one complete weight update of w(k) takes three control periods. In the beginning time k, the NN controller generates ∆(k),w(±)(k) and U(±)(k). and imple- ments the new control action U(+)(k). At timek+1, it measures correspondingsystemoutputY(+)(k) (whichisalsoY(k+1)), cal- culates the first evaluation valueJ(+)(k) using Y(+)(k), and then implements U(−)(k). The same procedures are repeated at time k+2 to calculateJ(−)(k). After that the weight w(k) will be up- dated using equation 4.25. The resulted new weight is not strictly w(k+1), butw(k+3)whichwillbeusedtocalculatenewcontrol action for the periodk+3. In principle, the output sequence can beexpressedas (seefigure 4.5) O= {. .. ,Y(k),Y(+)(k),Y(−)(k), Y(k+3),Y(+)(k+3),Y(−)(k+3), .. .}. (4.28) k k+1 k+5k+2 Time U(k) k+3 k+4 Y(k) Y+(k) Y-(k) Y+(k+3) Y-(k+3)Y(k+3) U+(k) U-(k) U(k+3) U +(k+3) U-(k+3) update of weights update of weights Figure4.5. Weightsupdate in thestandardSPSAalgorithm. The standard SPSA algorithm (equation 4.26) has a critical limita- tion that makes it difficult to be realized in practice. It is defined 105
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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
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Technik
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources