Robust H∞ Pinning Synchronization for Multiweighted Coupled Reaction-Diffusion

被引：21

作者：

Zhao, Lin-Hao ^{[1
]}

Wen, Shiping ^{[1
]}

Zhu, Song ^{[2
]}

Guo, Zhenyuan ^{[3
]}

Huang, Tingwen ^{[4
]}

机构：

[1] Univ Technol Sydney, Australian AI Inst, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia

[2] China Univ Min & Technol, Sch Math, Xuzhou 221116, Peoples R China

[3] Hunan Univ, Coll Math & Econometr, Changsha 410082, Peoples R China

[4] Texas A&M Univ Qatar, Sci Program, Doha, Qatar

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2023年 / 53卷 / 10期

关键词：

Coupled reaction-diffusion neural networks (CRNNs); 4L8; synchronization; multiple spatial diffusion cou-plings; multiple state couplings; pinning adaptive control. plings tent class ture; COMPLEX DYNAMICAL NETWORKS; MULTIPLE STATE COUPLINGS; TIME-VARYING DELAYS; NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; PASSIVITY; TERMS;

D O I：

10.1109/TCYB.2022.3223713

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article focuses on the robust $\mathcal{H}_{\infty}$ synchronization of two types of coupled reaction-diffusion neural networks with multiple state and spatial diffusion couplings by utilizing pinning adaptive control strategies. First, based on the Lyapunov functional combined with inequality techniques, several sufficient conditions are formulated to ensure $\mathcal{H}_{\infty}$ synchronization for these two networks with parameter uncertainties. Moreover, node-based pinning adaptive control strategies are devised to address the robust $\mathcal{H}_{\infty}$ synchronization problem. In addition, some criteria of $\mathcal{H}_{\infty}$ synchronization for these two networks under parameter uncertainties are developed via edge-based pinning adaptive controllers. Finally, two numerical examples are presented to verify our results.

引用

页码：6549 / 6561

页数：13

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