Comparative study of two algorithms for reference model direct fuzzy adaptive control for a class of SISO nonlinear systems

The continuous SISO nonlinear system is presented by the Takgi-Sugeno type fuzzy state model. The strategy of reference model direct adaptive control theory is presented then two adaptive fuzzy adjustment algorithms have been proposed. The control law which includes two terms is computed at each sampling time. The single synchronous generator coupled to the infinite-bus power system is used to check performances of the proposed algorithms.