Fixed-time synchronization of Markovian jump fuzzy cellular neural networks with stochastic disturbance and time-varying delays

被引：28

作者：

Cui, Wenxia ^{[1
]}

Wang, Zhenjie ^{[1
]}

Jin, Wenbin ^{[1
]}

机构：

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

来源：

FUZZY SETS AND SYSTEMS | 2021年 / 411卷

基金：

中国国家自然科学基金;

关键词：

Fixed-time; Synchronization; Finite-time; Stochastic; Cellular neural networks; EXPONENTIAL STABILITY; COEFFICIENTS;

D O I：

10.1016/j.fss.2020.05.007

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper mainly studies the fixed-time synchronization of Markovian jump fuzzy cellular neural networks with stochastic perturbations, and time-varying delays in the leakage term. By designing delay-dependent controllers with or without fuzzy terms, constructing a suitable stochastic Lyapunov functional and using matrix analysis techniques, this paper derives some novel and useful sufficient conditions to guarantee the fixed-time synchronization of the addressed drive-response systems, and the conditions are delay-dependent, which has less conservative results. The finite time is also independent of the initial states. Finally, numerical examples are given to illustrate the effectiveness of the proposed main results. (c) 2020 Elsevier B.V. All rights reserved.

引用

页码：68 / 84

页数：17

共 38 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] CELLULAR NEURAL NETWORKS - APPLICATIONS [J].

CHUA, LO ;

YANG, L .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1988, 35 (10) :1273-1290

[3] CELLULAR NEURAL NETWORKS - THEORY [J].

CHUA, LO ;

YANG, L .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1988, 35 (10) :1257-1272

[4] Synchronization of delayed fuzzy cellular neural networks with impulsive effects [J].

Ding, Wei .

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2009, 14 (11) :3945-3952

[5] 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

[6]

Hardy G.H., 1952, Inequalities, Cambridge

[7] Global exponential stability of delayed Markovian jump fuzzy cellular neural networks with generally incomplete transition probability [J].

Kao, Yonggui ;

Shi, Lei ;

Xie, Jing ;

Karimi, Harnid Reza .

NEURAL NETWORKS, 2015, 63 :18-30

[8] A Configurable Heterogeneous Multicore Architecture with Cellular Neural Network for Real-Time Object Recognition [J].

Kim, Kwanho ;

Lee, Seungjin ;

Kim, Joo-Young ;

Kim, Minsu ;

Yoo, Hoi-Jun .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2009, 19 (11) :1612-1622

[9] Delay-dependent stability analysis for a class of dynamical systems with leakage delay and nonlinear perturbations [J].

Li, Xiaodi ;

Fu, Xilin ;

Rakkiyappan, R. .

APPLIED MATHEMATICS AND COMPUTATION, 2014, 226 :10-19

[10] Existence and global stability analysis of equilibrium of fuzzy cellular neural networks with time delay in the leakage term under impulsive perturbations [J].

Li, Xiaodi ;

Rakkiyappan, R. ;

Balasubramaniam, P. .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2011, 348 (02) :135-155

← 1 2 3 4 →