Synchronization of Fractional-Order Uncertain Delayed Neural Networks with an Event-Triggered Communication Scheme

被引：2
|
作者：
Hymavathi, M. [1 ]
Ali, M. Syed [1 ]
Ibrahim, Tarek F. [2 ,3 ]
Younis, B. A. [4 ]
Osman, Khalid, I [5 ]
Mukdasai, Kanit [6 ]
机构：
[1] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
[2] King Khalid Univ, Fac Sci & Arts Mahayel, Dept Math, Abha 62529, Saudi Arabia
[3] Mansoura Univ, Math Dept, Fac Sci, Mansoura 35516, Egypt
[4] King Khalid Univ, Dept Math, Fac Sci & Arts Zahran Alganoob, Abha 62529, Saudi Arabia
[5] King Khalid Univ, Dept Math, Fac Sci & Arts Sarat Abeda, Abha 62529, Saudi Arabia
[6] Khon Kaen Univ, Dept Math, Fac Sci, Khon Kaen 40002, Thailand
来源：
FRACTAL AND FRACTIONAL | 2022年 / 6卷 / 11期
关键词：
fractional order; synchronization; event triggered; uncertain; ROBUST STABILITY ANALYSIS; SYSTEMS; PASSIVITY;
D O I：
10.3390/fractalfract6110641
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, the synchronization of fractional-order uncertain delayed neural networks with an event-triggered communication scheme is investigated. By establishing a suitable Lyapunov-Krasovskii functional (LKF) and inequality techniques, sufficient conditions are obtained under which the delayed neural networks are stable. The criteria are given in terms of linear matrix inequalities (LMIs). Based on the drive-response concept, the LMI approach, and the Lyapunov stability theorem, a controller is derived to achieve the synchronization. Finally, numerical examples are presented to confirm the effectiveness of the main results.
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收藏
页数：20
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