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finitetimeadaptiveconsensusofaclassofmultiagentsystems
Liu Kexin; Wu Lulu; Lu Jinhu; Zhu Henghui
2016
Source Publicationsciencechinatechnologicalsciences
ISSN1674-7321
Volume59Issue:1Pages:22
AbstractMulti-agent systems (MASs) are ubiquitous in natural and artificial systems. This paper aims to establish the finite-time adaptive consensus criterion for a class of MASs with nonlinear dynamics. Traditionally, the finite-time consensus criterion is often established based on the prior information on Lipschitz constants and the eigenvalues of Laplacian matrix. However, it is difficult to acquire the above prior information for most real-world engineering systems. To overcome the above difficulty, this paper develops the finite-time consensus criteria for a class of MASs with nonlinear dynamics via adaptive technique. In detail, we design the finite-time distributed node-based and edge-based adaptive consensus protocols for a class of MASs with fixed and switching topologies. Numerical simulations are also given to validate the proposed finite-time adaptive consensus criterion.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/45856
Collection系统科学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Liu Kexin,Wu Lulu,Lu Jinhu,et al. finitetimeadaptiveconsensusofaclassofmultiagentsystems[J]. sciencechinatechnologicalsciences,2016,59(1):22.
APA Liu Kexin,Wu Lulu,Lu Jinhu,&Zhu Henghui.(2016).finitetimeadaptiveconsensusofaclassofmultiagentsystems.sciencechinatechnologicalsciences,59(1),22.
MLA Liu Kexin,et al."finitetimeadaptiveconsensusofaclassofmultiagentsystems".sciencechinatechnologicalsciences 59.1(2016):22.
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