Robust tracking control design for fractional-order interval type-2 fuzzy systems

This paper is concerned with an uncertainty and disturbance estimator-based tracking control problem for a class of interval type-2 fractional-order Takagi-Sugeno fuzzy systems subject to time-varying delays. The footprints the underlying are taken into account capture model different levels uncertainties. estimator used promote behavior rejecting in system. First, by applying Lyapunov approach, we focus on examination stability performance error Next, unknown system uncertainties, external disturbances nonlinearities accurately estimated via appropriate filter design. Particularly, proposed technique does not require any prior knowledge about above said factors it only requires bandwidth information low-pass filter. Then, four numerical examples simulation results presented end, show potential theoretical method.