This thesis presents two intelligent controller designs for multi-input multi-output (MIMO) systems. First, for the linearized MIMO systems, the adaptive recurrent fuzzy neural network controller design method is developed to deal with the plant parameter variations and coupling problems. Then, based on the variable structure sliding mode, an adaptive fuzzy sliding mode controller is designed to deal with MIMO nonlinear systems. For these control system design, the adaptive laws of the controller parameters are derived based on Lyapunov function, so that the system stability can be guaranteed. Finally, several application examples are simulated to illustrate the effectiveness of the proposed design methods.