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

被引：3
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 50 条
  • [41] PD Control for Passivity of Coupled Reaction-Diffusion Neural Networks with Multiple State Couplings
    Liang, Rongguo
    Ren, Shun-Yan
    Wang, Jin-Liang
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 818 - 823
  • [42] Passivity and robust passivity of stochastic reaction-diffusion neural networks with time-varying delays
    Sheng, Yin
    Zeng, Zhigang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (10): : 3995 - 4012
  • [43] Stability and synchronization of fractional-order generalized reaction-diffusion neural networks with multiple time delays and parameter mismatch
    Gu, Yajuan
    Wang, Hu
    Yu, Yongguang
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (20) : 17905 - 17920
  • [44] Passivity and synchronization of coupled reaction-diffusion Cohen-Grossberg neural networks with state coupling and spatial diffusion coupling
    Chen, Weizhong
    Huang, Yanli
    Ren, Shunyan
    NEUROCOMPUTING, 2018, 275 : 1208 - 1218
  • [45] Stability and pinning synchronization of delayed memristive neural networks with fractional-order and reaction-diffusion terms
    Wu, Xiang
    Liu, Shutang
    Wang, Huiyu
    Wang, Yin
    ISA TRANSACTIONS, 2023, 136 : 114 - 125
  • [46] Passivity analysis of coupled neural networks with reaction-diffusion terms and mixed delays
    Cao, Yanyi
    Cao, Yuting
    Wen, Shiping
    Huang, Tingwen
    Zeng, Zhigang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (17): : 8915 - 8933
  • [47] Event-triggered passivity and synchronization of multiple derivative coupled reaction-diffusion neural networks
    Wang, Yihao
    NEUROCOMPUTING, 2024, 586
  • [48] Finite-Time Passivity and Synchronization of Coupled Reaction-Diffusion Neural Networks With Multiple Weights
    Wang, Jin-Liang
    Zhang, Xiao-Xiao
    Wu, Huai-Ning
    Huang, Tingwen
    Wang, Qing
    IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (09) : 3385 - 3397
  • [49] Stability analysis of Riemann-Liouville fractional-order neural networks with reaction-diffusion terms and mixed time-varying delays
    Wu, Xiang
    Liu, Shutang
    Wang, Yin
    NEUROCOMPUTING, 2021, 431 : 169 - 178
  • [50] Pinning control for passivity and synchronization of coupled memristive reaction-diffusion neural networks with time-varying delay
    Yue, Chen-Xu
    Wang, Lidan
    Hu, Xiaofang
    Tang, Hong-An
    Duan, Shukai
    NEUROCOMPUTING, 2020, 381 : 113 - 129
12345