Page - 198 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

Bibliography [Gmb14] Voetsch Industrietechnik GmbH. Energy efficient microwave curing of carbon fibre reinforced plas- tics (CFRP) first serial sandwich part for aerospace curedwithmicrowavesystemHEPHAISTOSVHM. Technical Press Release of Voetsch Industrietechnik GmbH, 2014. [GPM89] Carlos E Garcia, David M Prett, and Manfred Morari. Modelpredictivecontrol: Theoryandprac- tice -asurvey. Automatica, 25(3):335–348,1989. [GRD07] SSR Geedipalli, V Rakesh, and AK Datta. Model- ingtheheatinguniformitycontributedbyarotating turntable in microwave ovens. Journal of Food Engi- neering, 82(3):359–368,2007. [Gru03] Klaus-DieterGruner. Principlesofnon-contact tem- peraturemeasurement. 2003. [GWZ99] Chris Gaskett, David Wettergreen, and Alexander Zelinsky. Q-learning in continuous state and action spaces. In Advanced Topics in Artificial Intelligence, pages417–428.Springer,1999. [GY07] Sundaram Gunasekaran and Huai-Wen Yang. Ef- fectofexperimentalparametersontemperaturedis- tribution during continuous and pulsed microwave heating. Journal of Food Engineering, 78(4):1452 – 1456,2007. [Hai01] Richard E Haimbaugh. Practical induction heat treat- ing. AsmInternational, 2001. [Hay98] Simon Haykin. Neural networks: a comprehensive foundation. PrenticeHallPTR,1998. [HB00] MN Howell and Matt C Best. On-line PID tuning for engine idle-speed control using continuous ac- tion reinforcement learning automata. Control Engi- neeringPractice, 8(2):147–154,2000. 198