Event-based adaptive fuzzy tracking control for nonlinear systems with input magnitude and rate saturations

被引：4
|
作者：
Shui, Yi [1 ]
Dong, Lu [2 ]
Zhang, Ya [1 ]
Sun, Changyin [1 ,3 ]
机构：
[1] Southeast Univ, Sch Automat, Nanjing, Peoples R China
[2] Southeast Univ, Sch Cyber Sci & Engn, Nanjing, Peoples R China
[3] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2023年 / 54卷 / 16期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Event-triggered strategy; uncertain nonlinear systems; adaptive fuzzy control; input and rate saturations; parameter self-tuning; CONTROL DESIGN; FEEDBACK; STABILIZATION;
D O I：
10.1080/00207721.2023.2268237
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, an event-based adaptive fuzzy tracking control strategy for a class of uncertain nonlinear systems with limited control input and its rate of change is proposed. The unknown nonlinear function of the considered system is approximated by a fuzzy logic system (FLS). Furthermore, an event-triggered control method is developed to save the computing resources, in which the controller parameters are adaptively adjusted by a fuzzy controller. Moreover, it is proved by designing the Lyapunov function that the event-based controller can ensure that all signals of the controlled system are bounded. In addition, the tracking error can converge to a preset domain. Meanwhile, two practical simulations are given to demonstrate the effectiveness of the proposed method.
引用
收藏
页码：3045 / 3058
页数：14
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