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

被引：4

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.

引用

页数：20

共 50 条

[1] Event-triggered impulsive synchronization of fractional-order coupled neural networks
Tan, Hailian
Wu, Jianwei
Bao, Haibo
APPLIED MATHEMATICS AND COMPUTATION, 2022, 429
[2] Pinning Event-Triggered Scheme for Synchronization of Delayed Uncertain Memristive Neural Networks
Fan, Jiejie
Ban, Xiaojuan
Yuan, Manman
Zhang, Wenxing
MATHEMATICS, 2024, 12 (06)
[3] Event-Triggered State Estimation for Fractional-Order Neural Networks
Xu, Bingrui
Li, Bing
MATHEMATICS, 2022, 10 (03)
[4] Synchronization of Fractional-Order Delayed Neural Networks with Hybrid Coupling
Bao, Haibo
Park, Ju H.
Cao, Jinde
COMPLEXITY, 2016, 21 (S1) : 106 - 112
[5] Synchronization of Delayed Neural Networks via Integral-Based Event-Triggered Scheme
Zhang, Liruo
Nguang, Sing Kiong
Ouyang, Deqiang
Yan, Shen
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (12) : 5092 - 5102
[6] Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays
Liu, Peng
Wang, Jun
Zeng, Zhigang
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (08) : 4620 - 4630
[7] Strict dissipativity synchronization for delayed static neural networks: An event-triggered scheme
Vadivel, R.
Hammachukiattikul, P.
Gunasekaran, Nallappan
Saravanakumar, R.
Dutta, Hemen
CHAOS SOLITONS & FRACTALS, 2021, 150 (150)
[8] Event-triggered impulsive chaotic synchronization of fractional-order differential systems
Yu, Nanxiang
Zhu, Wei
APPLIED MATHEMATICS AND COMPUTATION, 2021, 388
[9] Event-triggered bipartite synchronization of coupled multi-order fractional neural networks
Liu, Peng
Li, Yunliu
Sun, Junwei
Wang, Yanfeng
Wang, Yingcong
KNOWLEDGE-BASED SYSTEMS, 2022, 255
[10] Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks
Zhang, Weiwei
Cao, Jinde
Chen, Dingyuan
Alsaadi, Fuad E.
ENTROPY, 2018, 20 (01)

← 1 2 3 4 5 →