In this thesis, the design methods of observer-based robust adaptive fuzzy control and observer-based robust adaptive fuzzy sliding mode control are proposed to deal with robust characteristics and stability analysis of nonlinear discrete-time systems with uncertainties, whose states are not available for measurement. According to some adaptive laws, the unknown nonlinear functions and the uncertainties of the plant can be approximated by fuzzy logic systems, and the compensator with a sector is used to tackle the approximate errors which are caused by the above-mentioned methods. In the light of Lyapunov stability theorem and variable structure control (VSC) theory, the proposed controllers can guarantee the stability of the overall system, and the system states can follow the desired signals. Finally, two examples and simulation results are presented to illustrate the effectiveness of the proposed methods.