Synchronization of Stochastic Complex Dynamical Networks with Mixed Time-Varying Coupling Delays

被引：9
|
作者：
Ali, M. Syed [1 ]
Usha, M. [1 ]
Alsaedi, Ahmed [2 ]
Ahmad, Bashir [2 ]
机构：
[1] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
[2] King Abdulaziz Univ, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Fac Sci, POB 80257, Jeddah 21589, Saudi Arabia
来源：
NEURAL PROCESSING LETTERS | 2020年 / 52卷 / 02期
关键词：
Complex dynamical networks (CDNs); Synchronization control; Linear matrix inequality; Lyapunov-Krasovskii functional; Time-varying coupling delays; MULTIAGENT SYSTEMS; STATE ESTIMATION; NEURAL-NETWORKS; STABILITY; CONSENSUS; CRITERIA;
D O I：
10.1007/s11063-020-10301-z
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Synchronization of complex networks with mixed time-varying coupling delays and stochastic perturbation. We constructed a novel Lyapunov functional with triple integral terms. By applying Jensen's inequality and Lyapunov stability theory stability conditions are derived to check the asymptotical stability of the concerned system. By employing the stochastic evaluation and Kronecker product delay-dependent synchronization criteria of stochastic complex dynamical networks are derived. By using the derived conditions control gain matrix is obtained. Finally, numerical results are presented to demonstrate the effectiveness and usefulness of the proposed results.
引用
收藏
页码：1233 / 1250
页数：18
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