Passivity for Multiadaptive Coupled Fractional-Order Reaction-Diffusion Neural Networks

被引：5
作者：
Wang, Jin-Liang [1 ]
Liu, Chen-Guang [2 ]
Liu, Xiao-Lu [3 ]
Huang, Lina [4 ]
Huang, Tingwen [5 ]
机构：
[1] Tiangong Univ, Sch Comp Sci & Technol, Tianjin Key Lab Autonomous Intelligence Technol &, Tianjin 300387, Peoples R China
[2] Beihang Univ, Inst Artificial Intelligence, Beijing 100191, Peoples R China
[3] Tian Gong Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China
[4] Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Shanghai 201210, Peoples R China
[5] Texas A&M Univ Qatar, Sci Program, Doha 23874, Qatar
来源：
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE | 2024年 / 8卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Coupled fractional-order reaction-diffusion neural networks (CFRNNs); multiadaptive couplings; output strict passivity; synchronization; STABILITY; SYNCHRONIZATION; STABILIZATION; PERIODICITY; TERMS;
D O I：
10.1109/TETCI.2023.3341330
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The passivity and passivity-based synchronization for a type of coupled fractional-order reaction-diffusion neural networks (CFRNNs) with multiadaptive couplings are discussed in this paper. On one hand, by designing suitable integer-order and fractional-order coupling weight updating schemes, several output strict passivity criteria for CFRNNs are developed. On the other hand, the output strict passivity is exploited to tackle the synchronization of CFRNNs, and several sufficient conditions are derived based on the properties of Laplace transform and Mittag-Leffler functions. Finally, the effectiveness of the devised coupling weight updating strategies are substantiated by numerical examples.
引用
收藏
页码：1350 / 1361
页数：12
相关论文
共 53 条
[1]   Lyapunov functions for fractional order systems [J].
Aguila-Camacho, Norelys ;
Duarte-Mermoud, Manuel A. ;
Gallegos, Javier A. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2014, 19 (09) :2951-2957
[2]   Almost Periodicity in Impulsive Fractional-Order Reaction-Diffusion Neural Networks With Time-Varying Delays [J].
Cao, Jinde ;
Stamov, Gani ;
Stamova, Ivanka ;
Simeonov, Stanislav .
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (01) :151-161
[3]   Distributed Coordination of Networked Fractional-Order Systems [J].
Cao, Yongcan ;
Li, Yan ;
Ren, Wei ;
Chen, YangQuan .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (02) :362-370
[4]   Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach [J].
Chen, Jun ;
Zhang, Xian-Ming ;
Park, Ju H. ;
Xu, Shengyuan .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (03) :1348-1354
[5]   Novel decentralized adaptive strategies for the synchronization of complex networks [J].
DeLellis, Pietro ;
diBernardo, Mario ;
Garofalo, Francesco .
AUTOMATICA, 2009, 45 (05) :1312-1318
[6]   New results on passivity of fractional-order uncertain neural networks [J].
Ding, Zhixia ;
Zeng, Zhigang ;
Zhang, Hao ;
Wang, Leimin ;
Wang, Liheng .
NEUROCOMPUTING, 2019, 351 :51-59
[7]   Observer-Based Boundary Stabilization of Coupled Semilinear Reaction-Diffusion Neural Networks With Spatially Varying Coefficients via Event-Triggered Controller [J].
Ge, Fudong ;
Chen, YangQuan .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (06) :8348-8357
[8]   Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction-Diffusion Terms via Distributed Pinning Controls [J].
Guo, Zhenyuan ;
Wang, Shiqin ;
Wang, Jun .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (01) :105-116
[9]   Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy [J].
He, Wangli ;
Luo, Tinghui ;
Tang, Yang ;
Du, Wenli ;
Tian, Yu-Chu ;
Qian, Feng .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (09) :3334-3345
[10]   Periodically Intermittent Stabilization of Neural Networks Based on Discrete-Time Observations [J].
He, Xiuli ;
Ahn, Choon Ki ;
Shi, Peng .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (12) :3497-3501
123456