A new robust nonlinear feedback design for a class of uncertain systems

Presents a robust tracking control scheme for a class of nonlinear uncertain systems. The control algorithm is developed based on a fuzzy model representation of uncertain systems previously introduced by the author. The fuzzy set-based model, developed for control purposes, describes system dynamics via fuzzy differential equations, thereby accommodating system uncertainty in a tractable way. The asymptotic tracking problem is formulated for a family of desired trajectories and the fuzzy model-based tracking controller is systematically designed without imposing restrictive structural conditions on system uncertainties. This fact puts the proposed fuzzy control scheme in advantage over existing control techniques, in that it can be applied to a wider range of physical systems