Adaptive fuzzy output-feedback control for a class of nonlinear pure-feedback systems with time delays

被引：13

作者：

Wang, Honghong ^{[1
]}

Chen, Bing ^{[1
]}

Lin, Chong ^{[1
]}

Sun, Yumei ^{[1
]}

机构：

[1] Qingdao Univ, Inst Complex Sci, Qingdao, Shandong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2017年 / 48卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Backstepping technique; fuzzy logic systems; observer; time delays; nonlinear systems; NEURAL-NETWORK CONTROL; LARGE-SCALE SYSTEMS; UNKNOWN CONTROL DIRECTIONS; DYNAMIC SURFACE CONTROL; ROBUST STABILIZATION; WAVELET NETWORKS; DEAD-ZONE; APPROXIMATION; TRACKING; DESIGN;

D O I：

10.1080/00207721.2016.1250970

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 investigates observer-based adaptive fuzzy control for a class of delayed nonlinear systems in pure-feedback form. We first proposed a linear observer to get the estimation of the system's state. And then utilise fuzzy logic systems to model those nonlinearities. Further, adaptive fuzzy approach and back-stepping technique are combined to develop the desired controller via Lyapunov analysis. The suggested adaptive fuzzy control scheme ensures that all the signals of the resulting nonlinear system converge to a small neighbourhood of the origin. Then a real simulation is used to illustrated the effectiveness of our results.

引用

页码：1242 / 1253

页数：12

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