Adaptive Fuzzy Stabilization for a Class of Pure-Feedback Systems with Unknown Dead-Zones

被引：0

作者：

Yu, Jianjiang ^{[1
]}

机构：

[1] Yancheng Teachers Univ, Sch Informat Sci & Technol, Yancheng 224002, Peoples R China

来源：

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2013年 / 15卷 / 03期

关键词：

Pure-feedback nonlinear system; fuzzy control; backstepping; small gain theorem; input-to-state stability (ISS); UNCERTAIN NONLINEAR-SYSTEMS; DISCRETE-TIME-SYSTEMS; NEURAL-CONTROL; INPUT; DELAY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an adaptive fuzzy controller for a class of completely pure-feedback nonlinear systems. Takagi-Sugeno type fuzzy logic systems are used to approximate the unknown nonlinear functions. The controller synthesis is developed by the backstepping technique and the small gain approach. The closed-loop control system is proved to be semi-globally uniformly, ultimately bounded (SGUUB) and the tracking error converges to a residual set. The simulation results show the effectiveness of the control scheme.

引用

页码：289 / 296

页数：8

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