Global bipartite synchronization of fractional-order time-varying coupled signed networks with proportional delays

被引:17
作者
Xu, Yao [1 ]
Li, Wenbo [2 ]
Zhang, Chunmei [3 ]
Li, Wenxue [1 ]
机构
[1] Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China
[2] Harbin Inst Technol Weihai, Sch Informat Sci & Engn, Weihai 264209, Peoples R China
[3] Southwest Jiaotong Univ, Sch Math, Chengdu 611756, Peoples R China
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2023年 / 126卷
关键词
Proportional delays; fractional-order signed networks; Global bipartite synchronization; Time-varying couplings; VALUED NEURAL-NETWORKS; FINITE-TIME; DYNAMICAL NETWORKS; STABILITY; SYSTEMS;
D O I
10.1016/j.cnsns.2023.107452
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates the global bipartite synchronization of fractional-order time-varying coupled signed networks with proportional delays. A systematic approach is proposed by combining graph theory, the Lyapunov method, and the Razumikhin method. A Razumikhin-type theorem and a coefficient-type theorem are given, and thus several significant bipartite synchronization criteria related to both the order of fractional-order derivative and the proportionality factor are obtained. Besides, the results are applied to Chua's circuits to reflect the availability of theoretical analysis. Finally, a numerical example is proposed to substantiate the effectiveness of theoretical results.& COPY; 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:12
相关论文
共 52 条
[1]   Uncertain viscoelastic models with fractional order: A new spectral tau method to study the numerical simulations of the solution [J].
Ahmadian, A. ;
Ismail, F. ;
Salahshour, S. ;
Baleanu, D. ;
Ghaemi, F. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2017, 53 :44-64
[2]   Global asymptotic synchronization of impulsive fractional-order complex-valued memristor-based neural networks with time varying delays [J].
Ali, M. Syed ;
Hymavathi, M. ;
Senan, Sibel ;
Shekher, Vineet ;
Arik, Sabri .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2019, 78
[3]   Consensus Problems on Networks With Antagonistic Interactions [J].
Altafini, Claudio .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (04) :935-946
[4]   THE FRACTIONAL-ORDER DYNAMICS OF BRAIN-STEM VESTIBULOOCULOMOTOR NEURONS [J].
ANASTASIO, TJ .
BIOLOGICAL CYBERNETICS, 1994, 72 (01) :69-79
[5]   Synchronization of fractional-order complex-valued neural networks with time delay [J].
Bao, Haibo ;
Park, Ju H. ;
Cao, Jinde .
NEURAL NETWORKS, 2016, 81 :16-28
[6]   Razumikhin-type stability theorems for functional fractional-order differential systems and applications [J].
Chen, Boshan ;
Chen, Jiejie .
APPLIED MATHEMATICS AND COMPUTATION, 2015, 254 :63-69
[7]   An effective recommendation method for cold start new users using trust and distrust networks [J].
Chen, Chien Chin ;
Wan, Yu-Hao ;
Chung, Meng-Chieh ;
Sun, Yu-Chun .
INFORMATION SCIENCES, 2013, 224 :19-36
[8]   Global Asymptotic Stability and Adaptive Ultimate Mittag-Leffler Synchronization for a Fractional-Order Complex-Valued Memristive Neural Networks With Delays [J].
Chen, Jiejie ;
Chen, Boshan ;
Zeng, Zhigang .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (12) :2519-2535
[9]   Global Uniform Asymptotic Fixed Deviation Stability and Stability for Delayed Fractional-order Memristive Neural Networks with Generic Memductance [J].
Chen, Jiejie ;
Chen, Boshan ;
Zeng, Zhigang .
NEURAL NETWORKS, 2018, 98 :65-75
[10]   Complex projection synchronization of fractional order uncertain complex-valued networks with time-varying coupling [J].
Ding, Dawei ;
Yao, Xiaolei ;
Zhang, Hongwei .
MODERN PHYSICS LETTERS B, 2019, 33 (29)