FUZZY MODELLING AND ADAPTIVE CONTROL OF UNCERTAIN SYSTEM

Martin Kratmüller - Ján Murgaš

   A simple and systematic approach is developed for modelling and adaptive control of an unknown or uncertain system, using only input-output data obtained from the underlying dynamical system. Gaussian fuzzy membership functions are used in conjunction with the least-squares principle for the modelling and control. Based on the fuzzy modelling, an adaptive controller is devised which works through the self-adjusting vector of the controller parameters. The effectiveness of the proposed design procedure is illustrated using the generator as a simple example.

Keywords: adaptive fuzzy control, adaptation, uncertain system, nonlinear systems, fuzzy logic

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