Exponential synchronization for spatio-temporal directed networks via intermittent pinning control

被引:7
|
作者
Shi, Tingting [1 ]
Hu, Cheng [1 ]
Yu, Juan [1 ]
Jiang, Haijun [1 ]
机构
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Xinjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex network; Reaction-diffusion; Intermittent control; Directed topology; Pinning strategy; DIFFUSION NEURAL-NETWORKS; COMPLEX NETWORKS; CLUSTER SYNCHRONIZATION; COMMUNITY NETWORKS; CONTROLLABILITY; STRATEGIES; STABILITY; DELAYS; TERMS; ARRAY;
D O I
10.1016/j.neucom.2021.04.057
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the exponential synchronization of directed spatio-temporal complex networks is concerned via intermittent pinning control, where the underlying topology is very generic and is not necessarily node balanced or strongly connected. Firstly, based on the decomposition of the topological graph into several maximal strongly connected subgraphs, two intermittent pinning controllers are developed. Subsequently, by adding the synchronized state as a virtual node to the original network, the exponential pinning synchronization of the underlying network is discussed, and several sufficient criteria are derived by utilizing M-matrix and LMI technique. Finally, the feasibility of theoretical results is substantiated by an illustrative example. CO 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码:337 / 349
页数:13
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