Practical finite-time synchronization of delayed fuzzy cellular neural networks with fractional-order

被引：10
|
作者：
Du, Feifei [1 ]
Lu, Jun-Guo [2 ,3 ,4 ]
Zhang, Qing-Hao [2 ,3 ,4 ]
机构：
[1] Northwest A&F Univ, Coll Sci, Xianyang 712100, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[3] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[4] Shanghai Engn Res Ctr Intelligent Control & Manage, Shanghai 200240, Peoples R China
来源：
INFORMATION SCIENCES | 2024年 / 667卷
基金：
中国国家自然科学基金;
关键词：
Fuzzy neural network; Fractional-order; Practical finite-time synchronization; Delay; STABILITY;
D O I：
10.1016/j.ins.2024.120457
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The practical finite -time (PFT) synchronization of fractional -order delayed fuzzy cellular neural networks (FODFCNNs) is presented in this article. Initially, a useful practical finite time (FT) stable lemma is developed, serving as an efficient instrument for the PFT synchronization of fractional -order systems. Subsequently, a new PFT synchronization criterion for FODFCNNs is derived using the designed controller and the aforementioned lemma. Simultaneously, the settling time for PFT synchronization is determined, relying on specific controller parameters and the initial conditions of the considered systems. Ultimately, the accuracy of the derived outcomes is confirmed through a numerical simulation.
引用
收藏
页数：10
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