Fixed-time adaptive fuzzy control for a class of non-strict-feedback uncertain non-linear systems

被引:2
|
作者
Yao, Qijia [1 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, 5,South Zhongguancun St, Beijing 100081, Peoples R China
关键词
Non-strict-feedback non-linear systems; fixed-time control; adaptive fuzzy control; backstepping control; practical fixed-time stability; NEURAL TRACKING CONTROL; DYNAMIC SURFACE CONTROL; FINITE-TIME; NETWORK CONTROL; APPROXIMATION; STABILIZATION; DESIGN;
D O I
10.1177/01423312211015124
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 addresses the fixed-time adaptive fuzzy control problem for a class of uncertain non-linear systems in non-strict-feedback form. A novel fixed-time adaptive fuzzy backstepping control (BC) scheme is proposed by integrating the fuzzy logic systems and fixed-time control technique into each step of the BC design. Rigorous theoretical analysis for the practical fixed-time stability of the resulting closed-loop system is provided. The proposed controller can guarantee that the tracking errors of the considered systems converge to the small regions about the origin in fixed time with a relatively simple structure. To the best of the authors' knowledge, there are only really limited existing controllers that can achieve such excellent performance under the same conditions. Finally, two simulation examples illustrate the effectiveness and superiority of the proposed control scheme.
引用
收藏
页码:3093 / 3102
页数:10
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