A distributed control law with guaranteed convergence rate for identically coupled linear systems

Qingling Wang, Changbin Yu, Huijun Gao, Fangzhou Liu

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

    4 Citations (Scopus)

    Abstract

    This paper investigates the stabilization and optimization problems for a group of identically linear agents with undirected interaction topology. It is shown that a distributed control law based on local measurements and relative information exchanged from neighboring agents can be designed for each agent to enable the agent states to be stabilized. Furthermore, due to the use of a parametric Lyapunov approach, the designed distributed control law guarantees not only optimization performance at a network level but also a convergence rate for the group of agents. Finally, a simulation example is provided to demonstrate the advantage as well as the effectiveness of the proposed method.

    Original languageEnglish
    Title of host publication2013 European Control Conference, ECC 2013
    PublisherIEEE Computer Society
    Pages2286-2291
    Number of pages6
    ISBN (Print)9783033039629
    DOIs
    Publication statusPublished - 2013
    Event2013 12th European Control Conference, ECC 2013 - Zurich, Switzerland
    Duration: 17 Jul 201319 Jul 2013

    Publication series

    Name2013 European Control Conference, ECC 2013

    Conference

    Conference2013 12th European Control Conference, ECC 2013
    Country/TerritorySwitzerland
    CityZurich
    Period17/07/1319/07/13

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