Fixed-time synchronization of discontinuous complex-valued BAM neural networks with time delays

被引：0

作者：

Wang, Qian ^{[1
]}

Qian, Yinjie ^{[2
]}

Qiao, Yuanhua ^{[2
]}

机构：

[1] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China

[2] Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China

来源：

NEUROCOMPUTING | 2025年 / 638卷

关键词：

Complex-valued BAM neural network; Discontinuous activation; Fixed-time synchronization; FINITE-TIME; VARYING DELAYS; STABILIZATION; STABILITY; DESIGN;

D O I：

10.1016/j.neucom.2025.130160

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The fixed-time synchronization (FTS) of discontinuous complex-valued bidirectional associative memory neural networks (CVBAMNNs) with time delays is investigated in this paper. First, CVBAMNNs are separated into real and imaginary parts, the equivalent real-valued subsystems are constructed for the analysis. Then, two kinds of discontinuous feedback controllers are designed, and two forms of Lyapunov function based on p-norm and 1-norm are constructed to study the FTS of CVBAMNNs. By using differential inclusions theory and some inequality techniques, some neoteric criteria are established to achieve FTS, and the upper-bound of the setting time is more explicitly estimated as well. Finally, numerical simulations are presented to verify the effectiveness and applicability of the developed theoretical results.

引用

页数：24

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