Fuzzy adaptive decentralized control for switched nonlinear large-scale systems based on backstepping technique

In this paper, the problem of fuzzy adaptive state-feedback control is investigated for a class of switched uncertain nonlinear large-scale systems. There exist switching jumps and uncertainties in systems models and switching signals, respectively. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and combining the adaptive backstepping technique and the dwell-time property of the switching signal, an adaptive fuzzy state-feedback control approach is developed. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are bounded, and the tracking errors converge to a small neighborhood of the origin.