Fixed-time stabilization and synchronization of fuzzy inertial neural networks via aperiodically semi-intermittent control

被引：1

作者：

Hu, Junhao ^{[1
]}

Zhang, Guodong ^{[1
]}

Li, Yan ^{[2
]}

Wang, Tianqi ^{[1
]}

机构：

[1] South Cent Minzu Univ, Coll Math & Stat, Wuhan 430074, Peoples R China

[2] Huazhong Agr Univ, Coll Informat, Wuhan 430072, Peoples R China

来源：

NEUROCOMPUTING | 2025年 / 631卷

基金：

美国国家科学基金会;

关键词：

Fixed-time stabilization/Fixed-time synchronization; Mixed delays; Aperiodically semi-intermittent controller; Discontinuous activation functions; Fuzzy items; STABILITY ANALYSIS;

D O I：

10.1016/j.neucom.2025.129720

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This research focuses fixed-time stabilization (FTST) and fixed-time synchronization (FTS) within fuzzy inertial neural networks (FINNs) that features discontinuous activation functions (DAF) as well as mixed delays. First, we embrace amore general model, which with fuzzy items and state-switched connection weights. Then, we extend the result of FTST to FTS. Next, by creating aperiodically semi-intermittent controller (ASIC) and utilizing the principles of non-smooth theory, we derive the stability criterions for FTST. Lastly, in the simulation portion, we demonstrate the effectiveness and practical application of our findings through two concrete examples.

引用

页数：8

共 37 条

[1]

Bezdek J. C., 1992, International Journal of Approximate Reasoning, V6, P85, DOI 10.1016/0888-613X(92)90013-P

[2] Fixed-time synchronization of delayed memristor-based recurrent neural networks [J].

Cao, Jinde ;

Li, Ruoxia .

SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (03)

[3] NEURAL NETWORK MODELS FOR PATTERN-RECOGNITION AND ASSOCIATIVE MEMORY [J].

CARPENTER, GA .

NEURAL NETWORKS, 1989, 2 (04) :243-257

[4] Stability analysis of dynamical neural networks [J].

Fang, YG ;

Kincaid, TG .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (04) :996-1006

[5] Exponential synchronization of memristive neural networks with inertial and nonlinear coupling terms: Pinning impulsive control approaches [J].

Fu, Qianhua ;

Zhong, Shouming ;

Shi, Kaibo .

APPLIED MATHEMATICS AND COMPUTATION, 2021, 402

[6] Improved Results on Fixed-/Preassigned-Time Synchronization for Memristive Complex-Valued Neural Networks [J].

Gan, Qintao ;

Li, Liangchen ;

Yang, Jing ;

Qin, Yan ;

Meng, Mingqiang .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (10) :5542-5556

[7] Fixed-Time Cluster Synchronization of Discontinuous Directed Community Networks via Periodically or Aperiodically Switching Control [J].

Gan, Qintao ;

Xiao, Feng ;

Qin, Yan ;

Yang, Jing .

IEEE ACCESS, 2019, 7 :83306-83318

[8] Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks [J].

Hu, Cheng ;

Yu, Juan ;

Chen, Zhanheng ;

Jiang, Haijun ;

Huang, Tingwen .

NEURAL NETWORKS, 2017, 89 :74-83

[9] Impulsive Control and Synchronization for Delayed Neural Networks With Reaction-Diffusion Terms [J].

Hu, Cheng ;

Jiang, Haijun ;

Teng, Zhidong .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (01) :67-81

[10] Fixed-time stabilization of discontinuous spatiotemporal neural networks with time-varying coefficients via aperiodically switching control [J].

Hu, Xiaofang ;

Wang, Leimin ;

Zhang, Chuan-Ke ;

Wan, Xiongbo ;

He, Yong .

SCIENCE CHINA-INFORMATION SCIENCES, 2023, 66 (05)

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