Predefined-Time Adaptive Fuzzy Control for a Class of Nonlinear Systems With Unknown Hysteresis

被引:0
作者
Ren, Kexin [1 ]
Wang, Fang [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive fuzzy control; nonlinear systems; predefined-time control; unknown hysteresis; STRICT-FEEDBACK SYSTEMS; TRACKING CONTROL; STABILIZATION; DESIGN;
D O I
10.1002/acs.4041
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 article researches a predefined-time adaptive fuzzy tracking control problem for a class of nonlinear systems with unknown hysteresis. Unlike the previous investigations on predefined-time control, unknown input hysteresis is considered within this article. The existence of unknown input hysteresis leads to a control gain whose direction is unknown. The Nussbaum function is introduced to get over this difficulty. Lemma 8 is applied to ensure that an integral term with a Nussbaum function is bounded. Thus, the predefined-time stability criterion is ensured. Furthermore, an adaptive fuzzy control scheme is put forward. The proposed scheme guarantees that the tracking error is able to converge to the vicinity of the origin in an expected time. The practicability of the designed scheme is validated by an electromechanical system.
引用
收藏
页数:12
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