Adaptive fuzzy output regulation of uncertain pure‐feedback non‐linear systems with prescribed performance
作者： Junwei Lu , Yongmin Li , Yang Liu , Fujin Jia
DOI: 10.1049/IET-CTA.2020.0482
关键词:
摘要: The output regulation problem for pure-feedback non-linear systems with prescribed performance (PP) driven by an external linear system unknown parameter are investigated. First, observer a disturbance signal is designed to observe unmeasured states. Secondly, fuzzy logic (FLS) used approximate non-affine functions. Thirdly, internal model obtained reject disturbance, and adaptive feedback algorithm proposed based on dynamic surface control (DSC) technique backstepping method. Simultaneously, L function constructed so that the overall property (steady-state property) of tracking error constrained PP results explain can make sure all signals closed-loop semi-globally uniformly ultimately bounded (SUUB), (SPPUUB). Finally, two examples given show validity results.
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