Seite - 193 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

Bibliography [CMT87] David W Clarke, C Mohtadi, and PS Tuffs. Gener- alized predictive controlpart i. the basic algorithm. Automatica, 23(2):137–148,1987. [Cog92] Frederic Neil Cogswell. Thermoplastic aromatic poly- mer composites: a study of the structure, processing and properties of carbon fibre reinforced polyetheretherketone andrelatedmaterials. Elsevier, 1992. [Cor01] JM Corum. Basic properties of of reference crossply carbon-fibercomposite.Technicalreport,OakRidge NationalLab.,TN(US),2001. [CRB08] S Curet, O Rouaud, and L Boillereaux. Microwave temperingandheatinginasingle-modecavity: Nu- merical and experimental investigations. Chemi- cal Engineering and Processing: Process Intensification, 47(9):1656–1665,2008. [Cro81] LawrenceCrone. Secondorderadjointmatrixequa- tions. Linear Algebra and its Applications, 39:61–71, 1981. [CS93] Hown-Wen Chen and Von-Wun Soo. Design of adaptive and incremental feed-forward neural net- works. In Neural Networks, 1993., IEEE International Conferenceon,pages479–484. IEEE,1993. [CS02] Tien-Chi Chen and Tsong-Terng Sheu. Model refer- ence neural network controller for induction motor speed control. Energy Conversion, IEEE Transactions on, 17(2):157–163,2002. [CU93] A Cochocki and Rolf Unbehauen. Neural networks for optimization and signal processing. John Wiley & Sons, Inc., 1993. [Cut83] Charles Ray Cutler. Dynamic matrix control: An optimal multivariable control algorithm with con- straints. 1983. [CYC02] Shi-Yuan Chen, Fang-Ming Yu, and Hung-Yuan Chung. Decoupled fuzzy controller design with 193