Quantized-observer based consensus for fractional order multi-agent systems under distributed event-triggered mechanism
Fei Wang,
Ning Li and
Yongqing Yang
Mathematics and Computers in Simulation (MATCOM), 2023, vol. 204, issue C, 679-694
Abstract:
This paper investigates the consensus problem of general nonlinear fractional order multi-agent systems in a directed network under event-triggered mechanism. First, observers are designed for every agent based on the outputs of them. Second, taking the constrains of communication bandwidth and storage space into consideration, the uniform quantizers are used for each channel. Then, the consensus criteria related with the general algebraic connectivity of communication topology under event-triggered mechanism are derived, furthermore, the Zeno behavior is excluded. Finally, an example is given to shown the effectiveness of the proposed methods.
Keywords: Fractional order; Event-triggered; Quantized-observer; Consensus (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475422003779
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:204:y:2023:i:c:p:679-694
DOI: 10.1016/j.matcom.2022.09.011
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().