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Fuzzy control theory: The linear case. (English) Zbl 0683.93002
Summary: A linear fuzzy proportional-integral (PI) controller with one input and one output is defined in terms of piecewise linear membership functions for fuzzification; control rules; and defuzzification algorithm. It is shown that a linear fuzzy controller is not equivalent to a linear non- fuzzy PI controller if the rules are evaluated using the Zadeh, probability or Lukasiewicz fuzzy logic alone.
However, the linear fuzzy controller is precisely equivalent to a linear non-fuzzy PI controller if mixed fuzzy logic is used to evaluate the control rules, when the fuzzy logics used are selected with due regard to prior associations implied by the control rule operands themselves. This finding has relevance to the selection of fuzzy logics in fuzzy expert systems and for fuzzy logics in general.

93A10 General systems
94D05 Fuzzy sets and logic (in connection with information, communication, or circuits theory)
03B52 Fuzzy logic; logic of vagueness
Full Text: DOI
[1] Buckley, J.J.; Siler, W., Fuzzy operators for possibility interval sets, Fuzzy sets and systems, 22, 215-227, (1987)
[2] Ozata, K., Modern control engineering, (1970), Prentice-Hall New York
[3] Procyk, T.J.; Mamdani, F.Z., A linguistic self-organizing process controller, Automatica, 15, 15-30, (1979) · Zbl 0393.68082
[4] Ruspini, E.H., Possibility theory approaches for advanced information systems, Computer, 15, 83-91, (1982)
[5] Siler, W., FLOPS: a fuzzy expert system shell, (), 848-850
[6] Siler, W.; Buckley, J.J., Fuzzy numbers for expert systems, (), 103-109 · Zbl 0666.68082
[7] Sugeno, M., Industrial applications of fuzzy control, (1985), Elsevier Science Publishers New York
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