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http://dx.doi.org/10.5391/IJFIS.2007.7.3.182

Fuzzy Logic Modeling and Its Application to A Walking-Beam Reheating Furnace  

Zhang, Bin (School of Electrical and Computer Engineering, Georgia Institute of Technology)
Wang, Jing-Cheng (Department of Automation, Shanghai Jiaotong University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.7, no.3, 2007 , pp. 182-187 More about this Journal
Abstract
A fuzzy modeling method is proposed to build the dynamic model of a walking-beam reheating furnace from the recorded data. In the proposed method, the number of membership function on each variable is increased individually and the modeling accuracy is evaluated iteratively. When the modeling accuracy is satisfied, the membership functions on each variable are fixed and the structure of fuzzy model is determined. Because the training data is limited, in this process, as the number of membership function increase, it is highly possible that some rules are missing, i.e., no data in the training set corresponds to the consequent part of a missing rule. To complete the rulebase, the output of the model constructed at the previous step is used to generate the consequent part of the missing rules. Finally, in the real time application, a rolling update scheme to rulebase is introduced to compensate the change of system dynamics and fine tune the rulebase. The proposed method is verified by the application to the modeling of a reheating furnace.
Keywords
Fuzzy System; Structure Identification; Complete Rulebase; Rulebase Update; Walking-Beam Reheating Furnace Model;
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1 Moreno-Garcia, J.; Castro-Schez, J.; Jimenez, L., 'A Fuzzy Inductive Algorithm for Modeling Dynamic Systems in a Comprehensible Way,' IEEE Transactions on Fuzzy Systems, vol. 15, no.4, pp. 652-672, 2007   DOI   ScienceOn
2 J. Jang, 'Structure Determination in Fuzzy Modeling: A Fuzzy CART Approach,' Proc. of IEEE International Conference on Fuzzy System, Orlando, FL, June 1994, pp. 480-485, 1994
3 Kuang C.C. and Su J. Y., 'Affine Takagi-Sugeno Fuzzy Modeling Algorithm by Fuzzy C-Regression Models Clustering with a Novel Cluster Validity Criterion,' Control Theory and Application, IET, vol. 1, no. 5, pp. 1255-1265, 2007   DOI   ScienceOn
4 Y. Wu, J. Lu, J. Xu, Y. Sun, 'Bioprocess Modeling Using Fuzzy Regression Clustering and Genetic Programming,' The 6th World Congress on Intelligent Control and Automation, vol.2, Dalian China, pp. 9337-9341, June 2006
5 L. De Mecatrnica, 'Autonomous Mountain-Clustering Method Applied to Fuzzy Systems Modeling,' Smart Engineering Systems: Fuzzy Logic and Evolutionary Programming, ASME Press, New York, USA, pp. 311-316, 1995
6 Takagi T and Sugeno M., 'Fuzzy Identification of Systems and Its Applications to Modeling and Control,' IEEE Trans. on Systems, Man, and Cybernetics, vol.15, no. 1, pp. 116-132, 1985
7 L.X. Wang and J.M. Mendel, 'Generating Fuzzy Rules by Learning from Examples,' IEEE Trans. on Systems, Man, and Cybernetics, vol. 22, no. 6, pp. 1414-1427, 1992   DOI   ScienceOn
8 L.X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice Hall, Englewood Cliffs, NJ. USA, 1994
9 J. Nie, 'Constructing Fuzzy Model by Self-Organizing Counter-Propagation Network,' IEEE Trans. on System, Man, and Cybernetics, vol. 25, no. 6, pp. 963-970, 1995   DOI   ScienceOn
10 Sugeno M. and G. T. Kang, 'Structure Identification of Fuzzy Model,' Fuzzy Sets and Systems, vol.28, pp. 15-33, 1988   DOI   ScienceOn
11 S. Abe and M.S. Lan, 'A Classifier Using Fuzzy Rules Extracted Directly from Numerical Data,' Proceedings of Second IEEE International Conference on Fuzzy Systems, San Francisco, CA, March 1993, pp. 1191-1198, 1993
12 S. Abe and M.S. Lan, 'Fuzzy Rules Extraction Directly from Numerical Data for Function Approximation,' IEEE Trans. on Systems, Man, and Cybernetics, vol. 25, no. 1, pp. 119-129,1995   DOI   ScienceOn
13 Huarng, K.-H.; Yu, T. H.-K.; Hsu, Y. W., 'A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting,' IEEE Transactions on Systems, Man and Cybernetics, vol. 37, no. 4, pp. 836-846, 2007   DOI   ScienceOn