Paper Title
Fuzzy Adaptive Control Design for Tracking Error Reduction in Nonlinear Systems

This paper presents adaptive fuzzy controller for nonlinear systems with nonaffine function. The objective of design of the controller is to reduce the tracking error to a minimum level and ultimate boundness of all the internal signals. Dynamic surface controller (DSC) is used to design the controller, this technique eliminates the explosion of complexity in the backstepping technique. Estimation of nonlinear system function reduces the tracking error, in this paper fuzzy logic system (FLS) is used to estimate the nonlinear system function for better accuracy than neural network system (NNW) . Keywords - Adaptive Control, DSC, FLS, NNW, Tracking Error.