Fuzzy Region Simulation in Adaptive Control
نویسندگان
چکیده
Uwe Keller, Donald Reay, Roy Leitch Intelligent Systems Laboratory Dept. of Computing & Electrical Engineering Heriot-Watt University, Edinburgh EH14 4AS, Scotland, UK [email protected] Abstract In this paper Fuzzy Region Simulation (FRenSi), which provides solutions for fuzzy dynamical models, is applied to qualitative adaptive control. FRenSi, combines fuzzy model parameters and fuzzy initial conditions to form a fuzzy region. A simulation algorithm generates the evolution of this fuzzy region. This region is described by vertices and cubic splines linking these corner points. The vertices are integrated numerically and new cubic splines are generated after each integration step. FRenSi provides solutions for fuzzy models without ambiguity and spurious behaviour. The FRenSi method is applied successfully to Qualitative Model Reference Adaptive Control (QMRAC) to form a variable precision control system.
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