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Distributed Event-Triggered Adaptive Control for Cooperative Output Regulation of Heterogeneous Multiagent Systems Under Switching Topology

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

    Abstract

    This paper investigates the cooperative output regulation problem for heterogeneous multiagent systems (MASs) under switching topology. Two novel distributed event-triggered adaptive control strategies based on state feedback and output feedback are developed, which can avoid using the minimal nonzero eigenvalue of Laplacian matrix associated with global system topologies. It is shown that under the proposed control protocols, MASs could achieve asymptotic tracking and disturbance rejection, and meanwhile, the amount of transmission data and communication cost among agents can be reduced. Then, the leader-following consensus problem of MASs is given as an application of our main results. Finally, an example is presented to verify the effectiveness of the proposed control schemes.
    Original languageEnglish
    Pages (from-to)4347-4358
    JournalIEEE Transactions on Neural Networks and Learning Systems
    Volume29
    Issue number9
    Online published9 Nov 2017
    DOIs
    Publication statusPublished - Sept 2018

    Research Keywords

    • Adaptive control
    • cooperative output regulation (COR)
    • Eigenvalues and eigenfunctions
    • event-triggered control
    • heterogeneous multiagent systems (MASs)
    • Laplace equations
    • Multi-agent systems
    • Network topology
    • Switches
    • switching topology.
    • Topology

    RGC Funding Information

    • RGC-funded

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