Abstract
In the case study reported in this chapter, it will be evidenced how soft computing techniques, and in particular the integration of analytical and neural-type procedures, will allow us to model and control the complex systems encountered in the semiconductor industry.
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References
Emani-Naeini A, Kabuli MG, Kosut L. Finite-time Tracking with Actuator Saturation: Application to RTP Temperature Trajectory Following. In Proc. Conf. Decision and Control. December 1994
Shaper C, Cho Y, Park P, Normann S, Gyugyi P, Hoffmann G, Balemi S, Boyd S, Franklin G, Kailath T, Saraswat K. Modeling and Control of Rapid Thermal Processing
Gyugyi P.J, Man CY, Granklin G, Kailath T, Roy RH. Model-based Control of Rapid Thermal Processing Systems. In The 1st IEEE Conference on Control Applications. Dayton Ohio, 1992; 473–482
Gyugyi PJ, Cho YM, Franklin GF, Kailath T. Control of Rapid Thermal Processing: A System Theoretic Approach, in Proc. IFAC World Congress. 1993
Campbell SA, Ahn KH, Knutson L, Liu BJH, Leighton JD. Steady State Thermal Uniformity and Gas Flow Patterns in a Rapid Thermal Processing Chamber. IEEE Transaction on Semiconductor Manufacturing. 1991; 4: (1): 14–20
Cybenko G. Approximation by Superposition of a Sigmoidal Function. Mathematics of Control, Signals and Systems. Springer-Verlag, New York, 2: 318–362
Gyugyi PJ. Model-Based Control Applied to Rapid Thermal Processing. A dissertation for the degree of Doctor of Philosophy. Stanford University, June 1993
Lord HA. Thermal and Stress Analysis of Semiconductor Wafers in a Rapid Thermal Processing Oven. IEEE Transaction on Semiconductor Manufacturing. 1988; 1: (3): 105–114
Moor BD, Moonen M, Vandenberghe L, Vandewalle J. A Geometrical Approach for the Identification of State Space Models with Singular Value Decomposition. Proc. IEEE ICASSP. New York, NY, 4: 2244–2247
Sjöberg J, Hjalmarsson H, Ljung L. Neural Networks in System Identification. Proceedings of 10th IFAC Symposium on System Identification. Copenaghen. July 1994: 49–71
Fortuna L, Muscato G, Nunnari G, Papaleo R. A Neural Networks Approach to Controlling the Temperature on Rapid Thermal Processing. Proc. of 8th Mediterranean Electrotechnical Conference, Bari, May 1996. II: 649–65
Schaper CD, Cho YM, Kailath T. Low-order Modeling and Dynamic Characterization of Rapid Thermal Processing. Appl. Phys., A. 1992; 54: 317–326
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© 2001 Springer-Verlag London
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Fortuna, L., Rizzotto, G., Lavorgna, M., Nunnari, G., Xibilia, M.G., Caponetto, R. (2001). Modeling and Control of RTP Systems. In: Soft Computing. Advanced Textbooks in Control and Signal Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0357-8_14
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DOI: https://doi.org/10.1007/978-1-4471-0357-8_14
Publisher Name: Springer, London
Print ISBN: 978-1-85233-308-9
Online ISBN: 978-1-4471-0357-8
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