Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics

被引：284

作者：

Yin, Shen ^{[1
]}

Shi, Peng ^{[2
]}

Yang, Hongyan ^{[1
]}

机构：

[1] Harbin Inst Technol, Harbin 150001, Peoples R China

[2] Univ Adelaide, Dept Elect & Elect Engn, Adelaide, SA 5005, Australia

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2016年 / 46卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Fuzzy control; nonlinear systems; time-delays; unmodeled dynamics; H-INFINITY CONTROL; TRACKING CONTROL; STOCHASTIC-SYSTEMS; STATE; STABILIZATION; DESIGN;

D O I：

10.1109/TCYB.2015.2457894

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an approximated-based adaptive fuzzy control approach with only one adaptive parameter is presented for a class of single input single output strict-feedback nonlinear systems in order to deal with phenomena like nonlinear uncertainties, unmodeled dynamics, dynamic disturbances, and unknown time delays. Lyapunov-Krasovskii function approach is employed to compensate the unknown time delays in the design procedure. By combining the advances of the hyperbolic tangent function with adaptive fuzzy backstepping technique, the proposed controller guarantees the semi-globally uniformly ultimately boundedness of all the signals in the closed-loop system from the mean square point of view. Two simulation examples are finally provided to show the superior effectiveness of the proposed scheme.

引用

页码：1926 / 1938

页数：13

共 40 条

[1] Adaptive Neural Stabilizing Controller for a Class of Mismatched Uncertain Nonlinear Systems by State and Output Feedback [J].