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  • Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling

    Author(s)
    He, Wangli
    Zhang, Biao
    Han, Qing-Long
    Qian, Feng
    Kurths, Jurgen
    Cao, Jinde
    Griffith University Author(s)
    Han, Qing-Long
    Year published
    2016
    Metadata
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    Abstract
    This paper is concerned with sampled-data leader-following consensus of a group of agents with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in two sampling periods is proposed. First, a general consensus criterion is derived for multiagent systems under a directed graph. A number of results in several special cases without transmittal delays or with the deterministic sampling are obtained. Second, a dimension-reduced condition is obtained for multiagent systems under an undirected graph. It is shown that the leader-following consensus problem with stochastic sampling can be transferred ...
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    This paper is concerned with sampled-data leader-following consensus of a group of agents with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in two sampling periods is proposed. First, a general consensus criterion is derived for multiagent systems under a directed graph. A number of results in several special cases without transmittal delays or with the deterministic sampling are obtained. Second, a dimension-reduced condition is obtained for multiagent systems under an undirected graph. It is shown that the leader-following consensus problem with stochastic sampling can be transferred into a master-slave synchronization problem with only one master system and two slave systems. The problem solving is independent of the number of agents, which greatly facilitates its application to large-scale networked agents. Third, the network design issue is further addressed, demonstrating the positive and active roles of the network structure in reaching consensus. Finally, two examples are given to verify the theoretical results.
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    Journal Title
    IEEE Transactions on Cybernetics
    DOI
    https://doi.org/10.1109/TCYB.2015.2514119
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Artificial Intelligence and Image Processing not elsewhere classified
    Applied Mathematics
    Artificial Intelligence and Image Processing
    Electrical and Electronic Engineering
    Publication URI
    http://hdl.handle.net/10072/173010
    Collection
    • Journal articles

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