Direct adaptive fuzzy control for a class of discrete-time nonlinear systems
作者： Zhongming Xiao , Tieshan Li , Fujun Liu , Xiaohui Yang
DOI: 10.1109/ICIST.2015.7288967
关键词:
摘要: In this paper, a robust direct adaptive fuzzy control scheme is presented for class of discrete-time nonlinear systems in the strict-feedback form. The logic system (FLS) used to approximate unknown function system, and backstepping design procedure employed controller adaptation laws design. Compared with existing results, proposed lighten online computational burden. It shown via Lyapunov theory that all signals closed-loop are semi-globally uniformly ultimately bounded (SGUUB) tracking error converges small neighborhood zero by choosing parameters ap- propriately. A simulation example illustrate effectiveness scheme.
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