Adaptive Fuzzy Decentralized Output Feedback Control for Nonlinear Large-Scale Systems With Unknown Dead-Zone Inputs

作者：Tong Shaocheng^*; Li Yongming

来源：IEEE Transactions on Fuzzy Systems, 2013, 21(5): 913-925.

DOI：10.1109/TFUZZ.2012.2236097

• Adaptive backstepping design control
• dead zones
• filter observer
• fuzzy logic systems (FLSs)
• large-scale systems
• nonlinear

In this paper, the problem of adaptive fuzzy decentralized backstepping control is considered for a class of nonlinear large-scale strict-feedback systems with unknown dead zones and immeasurable states. Fuzzy logic systems are used to approximate the unknown nonlinear functions, and a state filter is designed to estimate the immeasurable states. Applying an adaptive backstepping design technique and combining it with the dead-zone inverse method, an adaptive fuzzy decentralized output-feedback backstepping control is developed. It is proved that all the signals of the resulting closed-loop adaptive control system are semiglobally uniformly ultimately bounded, and tracking errors converge to a small neighborhood of the origin by appropriate choice of design parameters. Simulation results are given to demonstrate that the proposed adaptive decentralized control approach has a satisfactory control performance.

• 出版日期2013-10
• 单位辽宁工业大学