An approach to quantized consensus of continuous-time linear multi-agent systems

Ji Ma, Haibo Ji, Dong Sun, Gang Feng*

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    53 Citations (Scopus)

    Abstract

    This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.
    Original languageEnglish
    Pages (from-to)98-104
    JournalAutomatica
    Volume91
    Online published20 Mar 2018
    DOIs
    Publication statusPublished - May 2018

    Research Keywords

    • Consensus
    • ISS-Lyapunov functions
    • Quantization
    • Sampling

    Fingerprint

    Dive into the research topics of 'An approach to quantized consensus of continuous-time linear multi-agent systems'. Together they form a unique fingerprint.

    Cite this