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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Bibliography [Sto92] Anton Stoorvogel. H-infinity control problem. A state spaceapproach. PrenticeHall., 1992. [Str07] Julius Adams Stratton. Electromagnetic theory, vol- ume33. JohnWiley&Sons,2007. [Sut84] Richard Stuart Sutton. Temporal credit assignment inreinforcement learning. 1984. [Sut96] Richard S Sutton. Generalization in reinforcement learning: Successful examples using sparse coarse coding. Advances inneural informationprocessingsys- tems,pages1038–1044,1996. [SW89] Sharad Singhal and Lance Wu. Training multilayer perceptrons with the extended Kalman algorithm. In Advances in neural information processing systems, pages133–140,1989. [Swi96] Kevin Swingler. Applying neural networks: a practical guide. MorganKaufmann,1996. [SZ06] VE Semenov and NA Zharova. Thermal runaway and hot spots under controlled microwave heating. In Advances in Microwave and Radio Frequency Pro- cessing,pages482–490.Springer,2006. [SZL+95] Jonas Sjo¨berg, Qinghua Zhang, Lennart Ljung, Al- bert Benveniste, Bernard Delyon, Pierre-Yves Glo- rennec, Ha˚kan Hjalmarsson, and Anatoli Juditsky. Nonlinear black-box modeling in system identifica- tion: A unified overview. Automatica, 31(12):1691– 1724,1995. [TBS10] Evangelos Theodorou, Jonas Buchli, and Stefan Schaal. Reinforcement learning of motor skills in high dimensions: A path integral approach. In Robotics and Automation (ICRA), 2010 IEEE Interna- tionalConferenceon,pages2397–2403. IEEE,2010. [TC99] ET Thostenson and T-W Chou. Microwave pro- cessing: Fundamentals and applications. Com- 215
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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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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources