Qualitative Modeling Using Dynamic Fuzzy

نویسنده

  • Volker Krebs
چکیده

Klaus S hmid and Volker Krebs Universität Karlsruhe (TH), Institut für Regelungsund Steuerungssysteme Kaiserstr. 12, D-76131 Karlsruhe, Germany e-mail: {s hmid, krebs} irs.ete .uni-karlsruhe.de Abstra t. A dynami fuzzy system is a mapping of fuzzy input values onto a fuzzy output value with a feedba k to the input. In this paper, we present a new rule-based inferen e method that an be used in dynami fuzzy systems. The inferen e result is always a fuzzy number. Therefore, the model output ontains both, quantitative and qualitative information. Sin e this fuzzy output is fed ba k to the input, the dynami fuzzy system models in parti ular the dynami behavior of the qualitative information. A simulation example will demonstrate this feature of dynami fuzzy systems. 1 Dynami Fuzzy Systems In most fuzzy systems an inferen e method maps the inputs onto the output a ording to an if-then rule base. The inferen e is a stati mapping but it is possible to obtain a dynami pro ess model by embedding the inferen e in a dynami stru ture. Then, the model output has to be fed ba k in order to represent the model dynami s. Two possible resulting model stru tures are shown in Figures 1 and 2.

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تاریخ انتشار 2000