Observer-based fixed-time fuzzy tracking control for stochastic nonstrict nonlinear systems with hysteresis nonlinearity

被引：2
|
作者：
Ju, Hanzheng [1 ,2 ]
Tao, Fazhan [1 ,2 ]
Wang, Nan [1 ,2 ]
Fu, Zhumu [1 ,2 ]
Ma, Haoxiang [1 ,2 ]
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
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2023年 / 45卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Fuzzy logic system; fixed-time control; nonstrict; hysteresis; state observer; nonlinear stochastic systems; NEURAL-CONTROL; STABILIZATION; DESIGN;
D O I：
10.1177/01423312221147950
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, a new adaptive fuzzy fixed-time control strategy is proposed for stochastic nonstrict nonlinear systems with Bouc-Wen type of hysteresis input and unmeasured state variables. The Bouc-Wen model is recognized as one of the most intractable mechanical hysteresis models. The established state observer is used to assess unmeasurable states, and the fuzzy logic systems are utilized to approximate the uncertain nonlinear functions in the system. Based on the state observer and backstepping method, a fixed-time controller is recursively designed to ensure that all closed-loop signals of the system are bounded and the tracking error converges to a small neighborhood of the origin within a fixed-time. Finally, the effectiveness of the control strategy is verified by two simulation examples.
引用
收藏
页码：2122 / 2134
页数：13
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