Finite-Time Synchronization and H∞ Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings

被引：14

作者：

Wang, Jin-Liang ^{[1
]}

Wu, Han-Yu ^{[2
]}

Huang, Tingwen ^{[3
]}

Ren, Shun-Yan ^{[4
]}

机构：

[1] Tiangong Univ, Sch Comp Sci & Technol, Tianjin Key Lab Autonomous Intelligence Technol &, Tianjin 300387, Peoples R China

[2] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China

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

[4] Tiangong Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2024年 / 35卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Coupled neural networks (CNNs); finite-time H-infinity synchronization; finite-time synchronization (FTS); multi-derivative couplings; multistate couplings; COMPLEX NETWORKS; OUTPUT SYNCHRONIZATION; LAG SYNCHRONIZATION; PASSIVITY;

D O I：

10.1109/TNNLS.2022.3184487

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article investigates the finite-time synchronization (FTS) and H-infinity synchronization for two types of coupled neural networks (CNNs), that is, the cases with multistate couplings and with multiderivative couplings. By designing appropriate state feedback controllers and parameter adjustment strategies, some FTS and finite-time H-infinity synchronization criteria for CNNs with multistate couplings are derived. In addition, we further consider the FTS and finite-time H-infinity synchronization problems for CNNs with multiderivative couplings by utilizing state feedback control approach and selecting suitable parameter adjustment schemes. Finally, two simulation examples are given to demonstrate the effectiveness of the proposed criteria.

引用

页码：1628 / 1638

页数：11

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