• DocumentCode
    3166265
  • Title

    Topological heterogeneity and optimality analysis for multiagent formation

  • Author

    Haopeng Zhang ; Qing Hui

  • Author_Institution
    Dept. of Mech. Eng., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    5954
  • Lastpage
    5959
  • Abstract
    In this paper, we extend the results of the previous paper in the 2011 American Control Conference into a more general case. In the previous literature, the topologies for the velocity and position are assumed to be the same. However, in some cases, both topologies are different, even one of them is disconnected, due to a different detection technique. Therefore in this paper, we investigate the topological heterogeneity for the formation control and synchronization protocols. The requirement of connectivity for both topologies is relaxed. Since the choice of the topology in this case is much more available than that of the connected topology, now the question is which one is the best combination of the position and velocity topologies? Here we propose an optimization problem for choosing the topology by considering the tradeoff between the communication cost and convergence rate. To solve this optimization problem numerically, an adjusted binary particle swarm optimization algorithm is developed. Finally, some simulation results are provided to verify our formation and synchronization protocols.
  • Keywords
    graph theory; multi-agent systems; multi-robot systems; particle swarm optimisation; position control; synchronisation; velocity control; American Control Conference; binary particle swarm optimization algorithm; communication cost; convergence rate; detection technique; formation control; multiagent formation; optimality analysis; optimization problem; position topology; synchronization protocol; topological heterogeneity; topology connectivity; velocity topology; Eigenvalues and eigenfunctions; Multiagent systems; Optimization; Protocols; Symmetric matrices; Topology; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426167
  • Filename
    6426167