Finite-time adaptive fuzzy tracking control for stochastic nonlinear systems with time-delay via output-feedback

被引：1
|
作者：
Fu, Zhumu [1 ,2 ]
Lei, Xinyu [1 ]
Tao, Fazhan [1 ,3 ]
Wang, Nan [1 ,2 ,3 ]
Chen, Qihong [4 ]
机构：
[1] Henan Univ Sci & Technol, Coll Informat Engn, Luoyang 471023, Peoples R China
[2] Henan Univ Sci & Technol, Key Lab Robot & Intelligent Syst Henan Prov, Luoyang, Peoples R China
[3] Longmen Lab, Intelligent Syst Sci & Technol Innovat Ctr, Luoyang, Peoples R China
[4] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2023年 / 37卷 / 07期
基金：
中国国家自然科学基金;
关键词：
adaptive tracking control; finite-time control; fuzzy logic systems; state observer; stochastic nonlinear systems; time-delay;
D O I：
10.1002/acs.3606
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, the finite-time adaptive fuzzy tracking control issue for stochastic nonlinear systems with time-delay via output-feedback is studied. Firstly, a state observer and fuzzy logic systems with infinite approximation capability are utilized to estimate the unmeasured states and identify unknown nonlinear characteristics, respectively. Then, a finite-time adaptive fuzzy tracking controller is devised by the backstepping technology. It is shown that the presented control scheme can ensure the finite-time square stability of the stochastic nonlinear systems with time-delay, that is, the output tracking error converges to a sufficiently small neighborhood around the origin in finite-time, and all signals of the closed-loop system are bounded. Finally, the effectiveness of the presented control strategy is illustrated via two simulation examples.
引用
收藏
页码：1920 / 1939
页数：20
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