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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.
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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
- Category
- Technik