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Bibliography [Bar89] Horace B Barlow. Unsupervised learning. Neural computation, 1(3):295–311,1989. [Bar94] Andrew G Barto. Reinforcement learning control. CurrentOpinion inNeurobiology, 4(6):888–893,1994. [Bar98] Andrew G Barto. Reinforcement learning: An intro- duction. MITpress,1998. [Bar01] Michael Barr. Pulse width modulation. Embedded SystemsProgramming, 14(10):103–104,2001. [Bat92] Roberto Battiti. First-and second-order methods for learning: between steepest descent and Newton’s method. Neural computation, 4(2):141–166,1992. [BBBB95] Dimitri P Bertsekas, Dimitri P Bertsekas, Dimitri P Bertsekas, and Dimitri P Bertsekas. Dynamic pro- gramming and optimal control, volume 1. Athena Sci- entificBelmont,MA,1995. [BBG+03] SW Berg, D Bromberek, J Gagliano, AE Grelick, G Goeppner, A Nassiri, and T Smith. Rebuilding WR-340 and WR-284 waveguide switches to meet higher power at the advanced photon source. In Particle Accelerator Conference, 2003. PAC 2003. Pro- ceedings of the, volume 2, pages 1416–1418. IEEE, 2003. [BC06] Bruno Bouzy and Guillaume Chaslot. Monte-Carlo Go reinforcement learning experiments. In Compu- tational Intelligence and Games, 2006 IEEE Symposium on,pages187–194. IEEE,2006. [BDVW97] S Bradshaw, S Delport, and E Van Wyk. Qualita- tive measurement of heating uniformity in a multi- mode microwave cavity. Journal of microwave power andelectromagnetic energy, 32(2):88–95,1997. [Bel57] Richard Bellman. A Markovian decision process. Technical report,DTICDocument,1957. [BG97] ZviBogerandHugoGuterman. Knowledgeextrac- tion from artificial neural network models. In Sys- 189
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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