External consensus of networked multi-agent systems with nonlinear dynamics and random network delay

Qi Lei, Jia Hui Li, G-P Liu, Min Wu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Downloads (Pure)

    Abstract

    In this paper, the external consensus problem of networked multi-agent systems with fixed undirected topology, random network delay and nonlinear dynamics is considered. The unknown nonlinear dynamics existing in the systems can be described as RBF-ARX model. Besides, the random network delay can be compensated by introducing the prediction strategy. The RBF-ARX model is used as prediction model to design the output predictor, which is to generate the prediction sequence of control input and agent's output. Then, the designed selector chooses the proper value from the available sequences corresponding to the value of the network delay. Based on the mentioned above, a distributed external consensus control algorithm is proposed to make the considered systems with external reference input achieve consensus. Finally, an example is given to illustrate the validity of the proposed algorithm.

    Original languageEnglish
    Title of host publication2017 Asian Control Conference, ASCC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1883-1887
    Number of pages5
    Volume2018-January
    ISBN (Electronic)9781509015733
    DOIs
    Publication statusPublished - 7 Feb 2018
    Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia
    Duration: 17 Dec 201720 Dec 2017

    Conference

    Conference2017 11th Asian Control Conference, ASCC 2017
    Country/TerritoryAustralia
    CityGold Coast
    Period17/12/1720/12/17

    Fingerprint

    Dive into the research topics of 'External consensus of networked multi-agent systems with nonlinear dynamics and random network delay'. Together they form a unique fingerprint.

    Cite this