ADAPTIVE DIRECT FUZZY DECENTRALIZED CONTROL FOR A LARGE SCALE NONLINEAR SYSTEM

In this paper, a direct adaptive fuzzy decentralized control is proposed for a large-scale unknown nonlinear system. In the design, we employ adaptive fuzzy logic systems to approximate the unknown functions, and introduce error feedback and sliding mode control to deal with the interactions between subsystems, external disturbance and the errors of approximation. Finally, the analysis of the closed-loop ia given.