Fuzzy adaptive control for a class of nonlinear systems

An adaptive tracking control architecture is proposed for a class of contin uous-time nonlinear dynamic systems, for which an explicit linear parameter ization of the uncertainty in the dynamic is either unknown or impossible. The architecture employs fuzzy systems to approximate nonlinear functions, uses fuzzy sliding controller to compensate for the plant uncertainties. Gl obal asymptotic stability is established in the Lyapunov sense, with the tr acking errors converging to a neighborhood of zero. (C) 1999 Elsevier Scien ce B.V. All rights reserved.