Page - 215 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

Bibliography [Sto92] Anton Stoorvogel. H-infinity control problem. A state spaceapproach. PrenticeHall., 1992. [Str07] Julius Adams Stratton. Electromagnetic theory, vol- ume33. JohnWiley&Sons,2007. [Sut84] Richard Stuart Sutton. Temporal credit assignment inreinforcement learning. 1984. [Sut96] Richard S Sutton. Generalization in reinforcement learning: Successful examples using sparse coarse coding. Advances inneural informationprocessingsys- tems,pages1038–1044,1996. [SW89] Sharad Singhal and Lance Wu. Training multilayer perceptrons with the extended Kalman algorithm. In Advances in neural information processing systems, pages133–140,1989. [Swi96] Kevin Swingler. Applying neural networks: a practical guide. MorganKaufmann,1996. [SZ06] VE Semenov and NA Zharova. Thermal runaway and hot spots under controlled microwave heating. In Advances in Microwave and Radio Frequency Pro- cessing,pages482–490.Springer,2006. [SZL+95] Jonas Sjo¨berg, Qinghua Zhang, Lennart Ljung, Al- bert Benveniste, Bernard Delyon, Pierre-Yves Glo- rennec, Ha˚kan Hjalmarsson, and Anatoli Juditsky. Nonlinear black-box modeling in system identifica- tion: A unified overview. Automatica, 31(12):1691– 1724,1995. [TBS10] Evangelos Theodorou, Jonas Buchli, and Stefan Schaal. Reinforcement learning of motor skills in high dimensions: A path integral approach. In Robotics and Automation (ICRA), 2010 IEEE Interna- tionalConferenceon,pages2397–2403. IEEE,2010. [TC99] ET Thostenson and T-W Chou. Microwave pro- cessing: Fundamentals and applications. Com- 215