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Bibliography [KHL+12] Said G Khan, Guido Herrmann, Frank L Lewis, Tony Pipe, and Chris Melhuish. Reinforce- ment learning and optimal adaptive control: An overview and implementation examples. Annual Reviews inControl, 36(1):42–59,2012. [KHYM13] Mitsuhiro Kubota, Takuya Hanada, Satoshi Yabe, andHitokiMatsuda. Regenerationcharacteristicsof desiccantrotorwithmicrowaveandhot-airheating. AppliedThermalEngineering, 50(2):1576–1581,2013. [KL93] KarlSKunzandRaymondJLuebbers. Thefinitedif- ference time domain method for electromagnetics. CRC press,1993. [KLM96] Leslie Pack Kaelbling, Michael L Littman, and An- drew W Moore. Reinforcement learning: A survey. arXivpreprint cs/9605103, 1996. [KMS01] Magdalini K Krokida, Zacharias B Maroulis, and George D Saravacos. The effect of the method of dryingonthecolorofdehydratedproducts. Interna- tional journal of food science & technology, 36(1):53–59, 2001. [KO92] Marzuki Khalid and Sigeru Omatu. A neural net- work controller for a temperature control system. ControlSystems, IEEE, 12(3):58–64,1992. [Kri92] Gregory A Kriegsmann. Thermal runaway in microwave heated ceramics: A one-dimensional model. Journal of Applied Physics, 71(4):1960–1966, 1992. [KRS08] Kai Knoerzer, Marc Regier, and Helmar Schubert. Acomputationalmodel forcalculatingtemperature distributions in microwave food applications. Inno- vativeFoodScience&EmergingTechnologies, 9(3):374– 384,2008. [KV86] Panqanamala Ramana Kumar and Pravin Varaiya. Stochastic systems: Estimation, identification, andadap- 202
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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
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources