Quasi-uniform stability for fractional-order fuzzy neural networks with uncertain proportional delay

被引:5
|
作者
Deng, Zhenhua [1 ]
Zhang, Jie [2 ]
Yang, Zhanying [1 ]
机构
[1] South Cent Minzu Univ, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Univ Automot Technol, Sch Math Phys & Optoelect Engn, Shiyan 442002, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional-order system; Fuzzy neural networks; Proportional delay; Quasi-uniform stability; Henry-type integral inequality; FINITE-TIME STABILITY; GLOBAL ASYMPTOTIC STABILITY; CRITERIA; DIFFERENTIATION; SYNCHRONIZATION; DYNAMICS; LEAKAGE;
D O I
10.1007/s12190-023-01978-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates the quasi-uniform stability for fractional-order fuzzy neural networks with uncertain proportional delay. By some analytical techniques, we explore a Henry-type Gronwall integral inequality (HtGII) with proportional delay which is a generalization of known result. With this inequality and the Leray-Schauder fixed point theorem, we prove the existence and uniqueness of solution to the discussed system. Meanwhile, we derive a new quasi-uniform stability condition which can be easily calculated. In particular, this condition can provide the expression for the supremum of settling time. Ultimately, we supply two examples to exhibit the effectiveness of the obtained stability condition.
引用
收藏
页码:639 / 656
页数:18
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