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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Bibliography [RZK91] GVS Raju, JUN Zhou, and Roger A Kisner. Hierar- chical fuzzy control. International journal of control, 54(5):1201–1216,1991. [SAB98] Jose´Saa,AntonioAAlonso,andJulioRBanga. Op- timal control of microwave heating using mathe- matical models of medium complexity. Automatic Control of Food and Biological Processes (AcoFop IV), 1998. [SBA00] Isidro Sanchez, Julio R Banga, and Antonio A Alonso. Temperature control in microwave combi- nation ovens. Journal of Food Engineering, 46(1):21– 29,2000. [SBW92] Richard S Sutton, Andrew G Barto, and Ronald J Williams. Reinforcement learning isdirectadaptive optimal control. Control Systems, IEEE, 12(2):19–22, 1992. [SC94] JamesCSpallandJohnACristion. Nonlinearadap- tivecontrolusingneuralnetworks: Estimationwith a smoothed form of simultaneous perturbation gra- dientapproximation. InAmericanControlConference, 1994, volume3,pages2560–2564. IEEE,1994. [SC97] James C Spall and John A Cristion. A neural net- work controller for systems with unmodeled dy- namics with applications to wastewater treatment. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEETransactionson, 27(3):369–375,1997. [SC98] James C Spall and John A Cristion. Model-free con- trol of nonlinear stochastic systems with discrete- time measurements. Automatic Control, IEEE Trans- actionson, 43(9):1198–1210,1998. [Sch90] Ju¨rgen Schmidhuber. An on-line algorithm for dy- namic reinforcement learning and planning in reac- tive environments. In Neural Networks, 1990., 1990 IJCNN International Joint Conference on, pages 253– 258. IEEE,1990. 212
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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