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Modeling and Simulation of the Defuzzification Stage of a Type-2 Fuzzy Controller Using the Xilinx System Generator and Simulink

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Part of the book series: Studies in Computational Intelligence ((SCI,volume 257))

Abstract

This paper is focused on the study, analysis and development of code for the defuzzification stage of type-2 fuzzy systems, through the average of two type-1 fuzzy systems. This proposal is based on the average method for systems where the type-2 membership functions of the inputs and output, have no uncertainty in the mean or center. The codification is done using the hardware description language VHDL, and it was exported to Simulink through the Xilinx System Generator (XSG). Comparative tests were conducted between the type-2 fuzzy systems for different number of bits and noise levels.

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References

  1. Lago, E., Hinojosa, M.A., Jimńez, C.J., Barriga, A., Sánchez-Solano, S.: FPGA Implementation of Fuzzy Controllers. In: Proc. XII Conf. on Design of Circuits and Integrated Systems (DCIS 1997), Sevilla, November 1997, pp. 715–720 (1997)

    Google Scholar 

  2. Lizárraga, G., Sepúlveda, R., Montiel, O., Castillo, O.: Modeling and Simulation of the Defuzzification stage using Xilinx System Generator and Simulink. Soft Computing for Hybrid Intelligent Systems, vol. 154, pp. 333–343. Springer, Heidelberg (2008)

    Google Scholar 

  3. Wu, H., Mendel, J.M.: Uncertanty Bounds and Their use in the Design of Interval type-2 Fuzzy Logic Systems. IEEE Transactions on Fuzzy Systems 10, 1–16 (2002)

    Google Scholar 

  4. Mendel, J.M.: Type-2 Fuzzy Sets and Systems: an Overview. IEEE Computational Intelligence Magazine 2, 20–29 (2007)

    Google Scholar 

  5. Mendel, J.M.: Type-2 Fuzzy Sets: Some Questions and Answers. IEEE Computer Society Press, Los Alamitos (2003)

    Google Scholar 

  6. Mendel, J.M., Bob John, R.I.: Type-2 Fuzzy Sets Made Simple. IEEE Transactions on Fuzzy Systems 10, 117–127 (2002)

    Article  Google Scholar 

  7. Mendel, J.M.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, Upper-Saddle River (2001)

    MATH  Google Scholar 

  8. Karnik, N.N., Mendel, J.M., Liang, Q.: Type-2 Fuzzy Logic Systems. IEEE Transactions on Fuzzy Systems 7, 643–658 (1999)

    Article  Google Scholar 

  9. Karnik, N., Mendel, J.M.: Centroid of a Type-2 Fuzzy Set. Information Sciences 132, 195–220 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  10. Mendel, J.M., Hagras, H., John, R.I.: Standard Background Material About Interval Type-2 Fuzzy Logic Systems That Can Be Used By All Authors

    Google Scholar 

  11. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Information Sciences 8, 199–249 (1975)

    Article  MathSciNet  Google Scholar 

  12. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  13. L.E., Jiménez, C.J., López, D.R., Sánchez-Solano, S., Barriga, A.: XFVHDL: A Tool for the Synthesis of Fuzzy Logic Controllers. Design Automation and Test in Europe, 102–107 (1998)

    Google Scholar 

  14. Liang, Q., Mendel, J.M.: Interval Type-2 Fuzzy Logic Systems: Theory and Design. IEEE Trans. on Fuzzy Systems 8, 535–550 (2000)

    Article  Google Scholar 

  15. Manual of Xilinx System Generator, http://www.xilinx.com

  16. Patyra, M.J., Janos, L., Koster, K.: Digital Fuzzy Logic Controller:Design and Implementation. IEEE Transactions on Fuzzy Systems, vol. 4(4) ( November 1996)

    Google Scholar 

  17. Melgarejo, M.: Desarrollo de un Sistema de Inferencia Difusa sobre FPGA, Universidad Distrital Francisco José de Caldas, Centro de Investigación y Desarrollo Cientifico, Esfera Editores, Bogotá, Colombia (2003)

    Google Scholar 

  18. Melgarejo, M., Peña-Reyes, C.A.: Implementing Interval type-2 Fuzzy Processors. Computational Intelligence Magazine, IEEE 2, 63–71 (2007)

    Article  Google Scholar 

  19. Melgarejo, M.A., Carlos, R., Peña-Reyes, A.: Hardware architecture and FPGA implementation of a type-2 fuzzy system. In: Proceedings of the 14th ACM Great Lakes symposium on VLSI, pp. 458–461 (2004)

    Google Scholar 

  20. Melgarejo, M.A., Garcia, R.A., Peña-Reyes, C.A.: Pro-Two: a hardware based platform for real time type-2 fuzzy inference. In: Proceedings of 2004 IEEE International Conference on Publication Fuzzy Systems, vol. 2, pp. 977–982 (2004)

    Google Scholar 

  21. Cirstea, M.N., Dinu, A., Khor, J.G., McCormick, M.: Neural and Fuzzy Logic Control of Drives and Power System, Newnes (2002)

    Google Scholar 

  22. Montiel, O., Maldonado, Y., Sepúlveda, R., Castillo, O.: Simple tuned fuzzy controller embedded into an FPGA. In: 2008 NAFIPS Conference Proceedings, pp. 1–6 (2008)

    Google Scholar 

  23. Montiel, O., Olivas, J., Sepúlveda, R., Castillo, O.: Development of an Embedded Simple Tuned Fuzzy Controller. In: Zurada, J.M., Yen, G.G., Wang, J. (eds.) WCCI 2008. LNCS, vol. 5050, pp. 555–561. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  24. Vuong, P.T., Madni, A.M., Voung, J.B.: VHDL Implementation for a Fuzzy Logic Controller. In: World Automation Congress, WAC apos; 2006, pp. 1–8 (2006)

    Google Scholar 

  25. Sepúlveda, R., Castillo, O., Melin, P., Díaz, A.R., Montiel, O.: Experimental Study of Intelligent Controllers under Uncertainty using type-1 and type-2 Fuzzy Logic. Information Sciences 177, 2023–2048 (2007)

    Article  Google Scholar 

  26. Poorani, S., Urmila Priya, T.V.S.: FPGA Based Fuzzy Logic Controller for Electric Vehicle. Journal of the Institution of Engineers, Singapore 45(5) (2005)

    Google Scholar 

  27. Iregui, S., Linares, D., Melgarejo, M.: Performance Evaluation of Fuzzy Operators for FPGA Technology. In: NAFIPS 2008, New York (2008)

    Google Scholar 

  28. Sánchez-Solano, S., Cabrera, A., Jiménez, C.J., Brox, P., Baturone, I., Barriga, A.: Implementación sobre FPGA de Sistemas Difusos Programables. In: IBERCHIP, Workshop IBERCHIP La Habana, Cuba (2003)

    Google Scholar 

  29. Sánchez-Solano, S., Senhadji, R., Cabrera, A., Baturone, I., Jiménez, C.J., Barriga, A.: Prototyping of Fuzzy Logic Based Controllers Using Standard FPGA Development Boards. In: 13th IEEE International Workshop on Rapid System Prototyping on Volume, pp. 25–32 (2002)

    Google Scholar 

  30. Sánchez Solano, S., Barriga, A., Jiménez, C.J., Huertas, J.L.: Design and Application of Digital Fuzzy Controllers. In: Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEED 1997), Barcelona, Spain, vol. 2, pp. 869–874 (1997)

    Google Scholar 

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Sepúlveda, R., Montiel, O., Lizárraga, G., Castillo, O. (2009). Modeling and Simulation of the Defuzzification Stage of a Type-2 Fuzzy Controller Using the Xilinx System Generator and Simulink. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04514-1_18

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  • DOI: https://doi.org/10.1007/978-3-642-04514-1_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04513-4

  • Online ISBN: 978-3-642-04514-1

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