Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.