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Bibliography [LJ00] Chin-Teng Lin and Chong-Ping Jou. GA-based fuzzy reinforcement learning for control of a mag- netic bearing system. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 30(2):276– 289,2000. [Lju97] Lennart Ljung. Nonlinear black box models in sys- temidentification. InProceedingsof the1997IFACIn- ternationalSymposumonAdvancedControlofChemical Processes,pages1–13,1997. [Lju98] LennartLjung. Systemidentification. Springer,1998. [LLG14] Yingguang Li, Nanya Li, and James Gao. Tool- ing design and microwave curing technologies for themanufacturingoffiber-reinforcedpolymercom- posites in aerospace applications. The International Journal of Advanced Manufacturing Technology, 70(1- 4):591–606,2014. [LLHG14] NanyaLi,YingguangLi,XiaozhongHao,andJames Gao. A comparative experiment for the analysis of microwave and thermal process induced strains of carbon fiber/bismaleimide composite materials. CompositesScienceandTechnology, 2014. [LM03] NicholasELeadbeaterandMariaMarco. Rapidand amenable Suzuki coupling reaction in water using microwave and conventional heating. The Journal of organic chemistry, 68(3):888–892,2003. [LMAC02] D Limo´n Marruedo, T Alamo, and EF Camacho. Stabilityanalysisofsystemswithboundedadditive uncertainties based on invariant sets: Stability and feasibility of MPC. In American Control Conference, 2002. Proceedings of the 2002, volume 1, pages 364– 369. IEEE,2002. [LN95] Asriel U Levin and Kumpati S Narendra. Control of nonlinear dynamical systems using neural net- works. ii. observability, identification, and control. 204
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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