Stable model reference adaptive fuzzy control for MIMO nonlinear systems

The problem of global robust stabilization is investigated for a class of MIMO nonlinear systems with unknown function control gain belonging to a given compact set. The design is based on the model reference adaptive fuzzy control (MRAFC) and Lyapunov's second method. We showed that in the case of modeling error, the state error converges to zero asymptotically. Simulation results demonstrate the effectiveness of the approach.