Predefined-time adaptive fuzzy control for a class of stochastic nonlinear uncertain systems

被引：0
|
作者：
Wu, Jingyi [1 ]
Wang, Fang [1 ]
Zhang, Jing [2 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
[2] Guangdong Univ Foreign Studies, Comp Sci & Technol, Guangzhou, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2024年 / 38卷 / 06期
基金：
中国国家自然科学基金;
关键词：
adaptive fuzzy control; backstepping; predefined-time stability; stochastic nonlinear systems; STABILIZATION;
D O I：
10.1002/acs.3800
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 is mainly concentrated on the predefined-time adaptive fuzzy control of stochastic nonlinear systems. To handle nonlinear functions that are uncertain, fuzzy logic systems (FLSs) are used to approximate them. Compared with the existing studies, a Lyapunov-type criterion for practically predefined-time stochastic stabilization (PPSS) is put forward to guarantee the stabilization of the system. The stabilization time is merely dependent on one design parameter, which means the parameter can be adjusted to set the stability time.
引用
收藏
页码：2200 / 2214
页数：15
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