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
收藏
页码：1242 / 1253
页数：12
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