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Neural Processing Letters
Erschienen in: Neural Processing Letters 6/2022

10.05.2022

Fixed-Time Synchronization of Multi-weighted Complex Networks Via Economical Controllers

verfasst von: Xiaoyang Liu, Shao Shao, Yuanfa Hu, Jinde Cao

Erschienen in: Neural Processing Letters | Ausgabe 6/2022

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Abstract

This paper considers the fixed-time synchronization of multi-weighted complex networks (MWCNs) with /without coupling delays. Firstly, the problems of fixed-time average synchronization are solved for the MWCNs model without delays. A corresponding synchronization criterion is proposed as well. Secondly, the issues of fixed-time tracking synchronization of MWCNs with coupling delays are discussed. Some sufficient conditions are given to ensure the considered system achieve the synchronization goal. Thirdly, in contrast to the traditional fixed-time synchronization strategies containing many nonlinear control terms (Hu et al. in Neural Netw 89:74–83, 2017; Chen et al. in Neural Netw 123:412–419, 2020; Yang et al. in IEEE Trans Autom Control 62(11):5511–5521, 2017; Zhang et al. in IEEE Trans Cybern 49(8):3099–3104, 2018; Xu et al. in J Franklin Inst 355(1):164–176, 2018; Liu et al. in IEEE Trans Cybern 49(6):2398–2403, 2018), the new designed control protocols only contain fewer terms, which are economical just as claimed in Li et al. (IEEE Trans Cybern, 2020). Finally, two numerical examples are provided to show the effectiveness of proposed design.
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Metadaten
Titel
Fixed-Time Synchronization of Multi-weighted Complex Networks Via Economical Controllers
verfasst von
Xiaoyang Liu
Shao Shao
Yuanfa Hu
Jinde Cao
Publikationsdatum
10.05.2022
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 6/2022
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-022-10846-1

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