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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Bibliography IEEE transactions on neural networks/a publication of the IEEENeuralNetworksCouncil, 7(1):30–42,1995. [LNS04] Roland Wynne Lewis, Perumal Nithiarasu, and Kankanhalli Seetharamu. Fundamentals of the finite element method for heat and fluid flow. John Wiley & Sons,2004. [LP02] Mircea Lazar and Octavian Pastravanu. A neural predictive controller for non-linear systems. Math- ematics and Computers in Simulation, 60(3):315–324, 2002. [LR95] Peter Lancaster and Leiba Rodman. Algebraic riccati equations. OxfordUniversityPress,1995. [LS98] John Loch and Satinder P Singh. Using eligibility tracestofindthebestmemorylesspolicyinpartially observable Markov decision processes. In ICML, pages323–331,1998. [LV09] Frank L Lewis and Draguna Vrabie. Reinforcement learning and adaptive dynamic programming for feedback control. Circuits and Systems Magazine, IEEE, 9(3):32–50,2009. [LY97] JH a Lee and Zhenghong Yu. Worst-case formula- tions of model predictive control for systems with bounded parameters. Automatica, 33(5):763–781, 1997. [Mad04] Robert P Madding. Infrared window transmittance temperature dependence. InfraMation 2004 Proceed- ings, 2004. [mat] OfficialwebsiteofMATLAB. http://www.math- works.com/products/matlab/. Accessed: 2015-02- 03. [MC89] MichaelMcCloskeyandNealJCohen. Catastrophic interference inconnectionistnetworks: Thesequen- tial learning problem. Psychology of learning and mo- tivation, 24:109–165,1989. 205
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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