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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Bibliography [web] Introductionofwaveguides. http://www.micro- waveengservices.com/waveguide.html. Accessed: 2014-12-01. [Wer92] Paul J Werbos. Approximate dynamic program- ming for real-time control and neural modeling. Handbookof intelligentcontrol: Neural, fuzzy,andadap- tiveapproaches, 15:493–525,1992. [WF05] IanHWittenandEibeFrank. DataMining: Practical machine learning tools and techniques. Morgan Kauf- mann,2005. [Whi94] DarrellWhitley. Ageneticalgorithmtutorial. Statis- tics andcomputing, 4(2):65–85,1994. [Wil09] JohnKWilliams. Reinforcementlearningofoptimal controls. In Artificial intelligence methods in the envi- ronmental sciences,pages297–327.Springer,2009. [Win99] RHS Winterton. Newton’s law of cooling. Contem- poraryPhysics, 40(3):205–212,1999. [WKK+14] A Wieckowski, P Korpas, M Krysicki, F Dughiero, M Bullo, F Bressan, and Christian Fager. Efficiency optimization for phase controlled multi-source mi- crowave oven. International Journal of Applied Elec- tromagnetics andMechanics, 44(2):235–241,2014. [WMS92] PaulJWerbos,ThomasMcAvoy,andTedSu. Neural networks, system identification, and control in the chemical process industries. Handbook of Intelligent ControlNeural, Fuzzy, and Adaptive approaches, pages 283–356,1992. [WP97] EricWalterandLucPronzato. Identificationofpara- metric models. Communications and Control Engi- neering, 1997. [wr3] IntroductionofWR-340waveguide. http://luxtem. com/wizhome/menu125.html. Accessed: 2015-03- 10. 218
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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