FUZZY MODELLING AND ADAPTIVE CONTROL OF UNCERTAIN SYSTEM
Martin Kratmüller - Ján Murga
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