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Continuity of Defuzzification on L2 Space for Optimization of Fuzzy Control

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Book cover Active Media Technology (AMT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7669))

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Abstract

The purpose of this study is to consider the fuzzy optimal control based on the functional analysis. We used a mathematical approach to compute optimal solutions. The feedback of fuzzy control is evaluated through approximate reasoning using the center of sums defuzzification method or the height method on IF-THEN fuzzy rules. The framework consists of two propositions: To guarantee the convergence of optimal solution, a set of fuzzy membership functions (admissible fuzzy controller) which are selected out of continuous function space is compact metrizable. And assuming approximate reasoning to be a functional on the set of membership functions, its continuity is proved. Then, we show the existence of a fuzzy controller which minimizes (maximizes) the integral performance function of the nonlinear feedback fuzzy system.

This work was supported by JSPS KAKENHI Grant Numbers 24700235, 23730395.

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Mitsuishi, T., Terashima, T., Shimada, N., Homma, T., Sawada, K., Shidama, Y. (2012). Continuity of Defuzzification on L2 Space for Optimization of Fuzzy Control. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-35236-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35235-5

  • Online ISBN: 978-3-642-35236-2

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