Finite/fixed-time synchronization control of fuzzy inertial cellular neural networks with mixed delays

被引：5
作者：
Yang, Tianqing [1 ]
Zou, Runmin [1 ,2 ]
Liu, Fang [1 ]
机构：
[1] Cent South Univ, Sch Automat, Changsha, Hunan, Peoples R China
[2] Cent South Univ, Sch Automat, Changsha 410083, Hunan, Peoples R China
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2023年 / 45卷 / 10期
关键词：
Mixed delays; finite-time synchronization; fuzzy inertial cellular neural networks; fixed-time synchronization; DISSIPATIVITY ANALYSIS; EXPONENTIAL STABILITY; VARYING DELAYS; SYSTEMS;
D O I：
10.1177/01423312221140630
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the finite-time (FT) and fixed-time synchronization (F-TS) problems of fuzzy inertial cellular neural networks (FICNNs) with mixed delays are discussed based on the Filippov solution theory and FT stability theory. Compared with related research, this paper considers the fuzzy inertial system combined with discontinuous activation of cellular neural networks (CNNs) for the first time. Then, by choosing appropriate variable transformation, the original system can be rewritten as a first-order differential system. Some novel and useful sufficient conditions for finite/fixed-time synchronization of FICNNs are established by applying three suitable discontinuous state feedback controllers. Finally, three numerical simulations are presented to elaborate the validity of the proposed methods.
引用
收藏
页码：1933 / 1946
页数：14
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