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Bibliography [ACL05] Kiam Heong Ang, Gregory Chong, and Yun Li. PID control system analysis, design, and technol- ogy. ControlSystemsTechnology, IEEETransactionson, 13(4):559–576,2005. [AD10] 3M Industrial Adhesives and Tapes Division. Tech- nicaldata from3M. Technical report, 3MCompany, 2010. [ADDG92] KG Ayappa, HT Davis, EA Davis, and J Gor- don. Two-dimensionalfiniteelementanalysisofmi- crowave heating. AIChE Journal, 38(10):1577–1592, 1992. [A˚JPJ08] Bernt M A˚kesson, John Bagterp Jørgensen, Niels Kjølstad Poulsen, and Sten Bay Jørgensen. A generalized autocovariance least-squares method for Kalman filter tuning. Journal of Process control, 18(7):769–779,2008. [ALL+09] John Asmuth, Lihong Li, Michael L Littman, Ali Nouri, and David Wingate. A Bayesian sampling approach to exploration in reinforcement learning. In Proceedings of the Twenty-Fifth Conference on Un- certainty in Artificial Intelligence, pages 19–26. AUAI Press,2009. [Alp04] Ethem Alpaydin. Introduction to machine learning. MITpress,2004. [AM07] BrianDOAndersonandJohnBMoore. Optimalcon- trol: linear quadratic methods. Courier Corporation, 2007. 187
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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