Adaptive finite-time fuzzy control for switched nonlinear systems with dead-zone inputs

被引：0
作者：
Gao, Jinsong [1 ]
Yang, Haijiao [1 ]
Xu, Zhengxiang [1 ]
Shi, Kaibo [2 ]
He, Shuping [1 ,3 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei 230601, Peoples R China
[2] Chengdu Univ, Sch Elect Informat & Elect Engn, Chengdu 610106, Peoples R China
[3] Anhui Univ, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE | 2025年 / 362卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Adaptive fuzzy control; Finite-time control; Switched nonlinear systems; Dead-zone input; TRACKING CONTROL; STABILITY;
D O I：
10.1016/j.jfranklin.2025.107669
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 paper puts forward a finite-time control scheme for switched nonlinear systems with dead-zone inputs. A novel adaptive updating mechanism with a real-time dead-zone compensated function is constructed, avoiding the introduction of traditional compensating systems. In order to adjust the tracking speed and enhance the tracking effect in the existing finite-time results where the closed-loop system signals converge into an unknown time-invariant region, an error-based barrier function is proposed; and an adaptive finite-time controller is designed such that the closed-loop signals are finally to be controlled within a time-varying boundary. Finally, a simulation example is provided by a switched RLC circuit system, verifying the effectiveness of the proposed control scheme.
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页数：13
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