Direct stable fuzzy adaptive control of a class of SISO nonlinear systems

For class of unknown nonlinear single-output (SISO) systems a stable direct adaptive controller witch uses standard fuzzy systems is presented. The proposed scheme includes a proportional-integral-type adaptation law. global boundedness of the overall adaptive system and tracking within a desired precision are established with the new adaptive scheme. This adaptive scheme allows for the incorporation of linquistic information from human experts directly into the controller. Simulations performed on two examples illustrate the approach and exhibit its performance.