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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

29 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)98-104
Journal / PublicationAutomatica
Volume91
Online published20 Mar 2018
Publication statusPublished - May 2018

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.

Research Area(s)

  • Consensus, ISS-Lyapunov functions, Quantization, Sampling