Passivity and Control for Multiweighted and Directed Fractional-Order Network Systems

被引:11
|
作者
Lin, Shanrong [1 ,2 ]
Liu, Xiwei [1 ,2 ]
机构
[1] Tongji Univ, Dept Comp Sci & Technol, Shanghai 201804, Peoples R China
[2] Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 201804, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive coupling; fractional-order systems; multiweighted and directed networks; passivity and control; synchronization; inner and outer coupling matrices; COMPLEX NETWORKS; NEURAL-NETWORKS; MULTIAGENT SYSTEMS; DYNAMICAL-SYSTEMS; SYNCHRONIZATION; STABILITY; WEIGHTS;
D O I
10.1109/TCSI.2023.3239907
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We conduct the study of passivity and control for multiweighted and directed fractional-order network systems (MDFONSs) in this article. A new concept of fractional-order passivity (FOP) is defined, which also contains the integer-order passivity. In the literature of multiweighted networks, many papers usually study its passivity only from the viewpoint of outer coupling matrices (OMs), which are also assumed to be connected and undirected. In this article, we add the viewpoint of inner coupling matrices (IMs), and the OMs can be directed and not connected, which can greatly improve the existing results. By means of decomposing IMs into their main diagonal matrices and residual matrices, we obtain that if the weighted combination of multiple OMs for each dimension is strongly connected, then FOP can be realized. Of course, the above results also hold for diagonal IMs, which is commonly addressed in previous works. Moreover, synchronization, adaptive coupling strengths and pinning control are also discussed. Besides, FOP and control rules for multiweighted and directed fractional-order reaction-diffusion network systems (MDFORDNSs) are derived by applying this strategy. Numerical examples are ultimately employed to examine the effectiveness of these gained results.
引用
收藏
页码:1733 / 1746
页数:14
相关论文
共 50 条
  • [41] Integral sliding mode control for fractional-order systems with mismatched uncertainties
    Gao, Zhe
    Liao, Xiaozhong
    NONLINEAR DYNAMICS, 2013, 72 (1-2) : 27 - 35
  • [42] Linear Control of Fractional-Order Financial Chaotic Systems with Input Saturation
    Luo, Junhai
    Li, Guanjun
    Liu, Heng
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2014, 2014
  • [43] Positive Consensus of Fractional-Order Multiagent Systems Over Directed Graphs
    Liu, Jason J. R.
    Lam, James
    Kwok, Ka-Wai
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (11) : 9542 - 9548
  • [44] Delayed feedback control of fractional-order chaotic systems
    Gjurchinovski, A.
    Sandev, T.
    Urumov, V.
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2010, 43 (44)
  • [45] Passivity of fractional reaction-diffusion systems
    Cao, Yan
    Zhou, Wei-Jie
    Liu, Xiao-Zhen
    Wu, Kai-Ning
    APPLIED MATHEMATICS AND COMPUTATION, 2024, 476
  • [46] Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults
    Liu, Heng
    Pan, Yongping
    Cao, Jinde
    Wang, Hongxing
    Zhou, Yan
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (12) : 5166 - 5177
  • [47] DESIGN OF UNKNOWN INPUT FRACTIONAL-ORDER OBSERVERS FOR FRACTIONAL-ORDER SYSTEMS
    N'Doye, Ibrahima
    Darouach, Mohamed
    Voos, Holger
    Zasadzinski, Michel
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2013, 23 (03) : 491 - 500
  • [48] Passivity for Multiadaptive Coupled Fractional-Order Reaction-Diffusion Neural Networks
    Wang, Jin-Liang
    Liu, Chen-Guang
    Liu, Xiao-Lu
    Huang, Lina
    Huang, Tingwen
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024, 8 (02): : 1350 - 1361
  • [49] Suppressing chaos for a class of fractional-order chaotic systems by adaptive integer-order and fractional-order feedback control
    Li, Ruihong
    Li, Wei
    OPTIK, 2015, 126 (21): : 2965 - 2973
  • [50] Stabilization of a class of fractional-order chaotic systems using a non-smooth control methodology
    Aghababa, Mohammad Pourmahmood
    NONLINEAR DYNAMICS, 2017, 89 (02) : 1357 - 1370