Finite-time synchronization for fuzzy inertial cellular neural networks with time-varying delays via integral inequality

被引：2

作者：

Wang, Zhenjie ^{[1
]}

Cui, Wenxia ^{[1
]}

Jin, Wenbin ^{[1
]}

机构：

[1] Shanghai Univ Engn Sci, Sch Math Phys & Stat, Shanghai 201620, Peoples R China

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2021年 / 41卷 / 02期

关键词：

Finite-time synchronization; complex networks; time-varying delays; integral inequality; GLOBAL EXPONENTIAL STABILITY; ALMOST-PERIODIC SOLUTIONS; ASYMPTOTIC STABILITY; EXISTENCE;

D O I：

10.3233/JIFS-211065

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper mainly considers the finite-time synchronization problem of fuzzy inertial cellular neural networks (FICNNs) with time-varying delays. By constructing the suitable Lyapunov functional, and using integral inequality techniques, several sufficient criteria have been proposed to ensure the finite-time synchronization for the addressed (FICNNs). Without applying the known finite-time stability theorem, which is widely used to solve the finite-time synchronization problems for (FICNNs). In this paper, the proposed method is relatively convenient to solve finite-time synchronization problem of the addressed system, this paper extends the research works on the finite-time synchronization of (FICNNs). Finally, numerical simulations illustrated verify the effectiveness of the proposed results.

引用

页码：3653 / 3666

页数：14

共 35 条

[1] Finite-time synchronization for fuzzy cellular neural networks withtime-varying delays [J].

Abdurahman, Abdujelil ;

Jiang, Haijun ;

Teng, Zhidong .

FUZZY SETS AND SYSTEMS, 2016, 297 :96-111

[2] Finite-time control of linear systems subject to parametric uncertainties and disturbances [J].

Amato, F ;

Ariola, M ;

Dorato, P .

AUTOMATICA, 2001, 37 (09) :1459-1463

[3] Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays [J].

Balasubramaniam, P. ;

Ali, M. Syed ;

Arik, Sabri .

EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (12) :7737-7744

[4] Anti-periodic dynamics on high-order inertial Hopfield neural networks involving time-varying delays [J].

Cao, Qian ;

Guo, Xiaojin .

AIMS MATHEMATICS, 2020, 5 (06) :5402-5421

[5]

Cui N., 2017, J ASS ARAB U BASIC A, V24, P300, DOI [10.1016/j.jaubas.2017.03.006, DOI 10.1016/J.JAUBAS.2017.03.006]

[6] Fixed-time synchronization of Markovian jump fuzzy cellular neural networks with stochastic disturbance and time-varying delays [J].

Cui, Wenxia ;

Wang, Zhenjie ;

Jin, Wenbin .

FUZZY SETS AND SYSTEMS, 2021, 411 :68-84

[7] Finite-time cluster synchronisation of Markovian switching complex networks with stochastic perturbations [J].

Cui, Wenxia ;

Fang, Jian-an ;

Zhang, Wenbing ;

Wang, Xin .

IET CONTROL THEORY AND APPLICATIONS, 2014, 8 (01) :30-41

[8] Global exponential synchronization of delayed fuzzy cellular neural networks with discontinuous activations [J].

Duan, Lian ;

Fang, Xianwen ;

Fu, Yujie .

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (03) :579-589

[9] Global exponential synchronization of delayed fuzzy cellular neural networks with impulsive effects [J].

Feng, Xiaomei ;

Zhang, Fengqin ;

Wang, Wenjuan .

CHAOS SOLITONS & FRACTALS, 2011, 44 (1-3) :9-16

[10] Existence and stability of almost-periodic solutions for cellular neural networks with time-varying delays in leakage terms on time scales [J].

Gao, Jin ;

Wang, Qi-Ru ;

Zhang, Liu-Wei .

APPLIED MATHEMATICS AND COMPUTATION, 2014, 237 :639-649

← 1 2 3 4 →