Decentralized adaptive variable structure control based on fuzzy logic

The problem of decentralized adaptive fuzzy control for a class of large-scale nonlinear systems with unknown constant control gains is studied in this paper. A new method is proposed to design a decentralized, adaptive, fuzzy, variable-structure controller. The design is capable of incorporating linguistic and numerical information into the controller. By using the Lyapunov method, the decentralized adaptive fuzzy control system is proved to be globally stable, with tracking errors converging to a neighborhood of zero.