Adaptive Fuzzy Decentralized Control for a Class of Uncertain Large-Scale Time-Delay Nonlinear Systems

In this paper, adaptive fuzzy decentralized control is presented for a class of uncertain large-scale time-delay nonlinear systems. By employing the fuzzy logic systems and the technique of delay replacement, the iterative backstep- ping design approach can be carried out, and the common restrictions of the unknown delay signals and the unknown interconnections are removed. Furthermore, the designed fuzzy decentralized controller is memoryless. It is proved that all the signals in the closed-loop systems are semi- globally uniformly ultimately bounded (SGUUB), and the tracking error is proven to converge to a small neighborhood of the origin.