Advanced Intelligent Controller Design for Canonical Nonlinear Systems

This paper introduces a new decentralized adaptive fuzzy controller for a class of large-scale nonlinear systems with unknown non-affine subsystems and unknown interconnections represented by nonlinear functions. The fuzzy system is used to represent the controller's structure. The stability of the closed loop system is guaranteed through Lyapunov stability analysis by introducing some adaptive rules derived appropriately. Simulation results easily highlight merits of the proposed controller.