• DocumentCode
    1055122
  • Title

    Oscillator Models and Collective Motion

  • Author

    Paley, Derek A. ; Leonard, Naomi Ehrich ; Sepulchre, Rodolphe ; Grünbaum, Daniel ; Parrish, Julia K.

  • Author_Institution
    Princeton Univ., New Jersey
  • Volume
    27
  • Issue
    4
  • fYear
    2007
  • Firstpage
    89
  • Lastpage
    105
  • Abstract
    This article describes PCOD, a cooperative control framework for stabilizing relative equilibria in a model of self-propelled, steered particles moving in the plane at unit speed. Relative equilibria correspond either to motion of all of the particles in the same direction or to motion of all of the particles around the same circle. Although the framework applies to time-varying and directed interaction between individuals, we focus here on time-invariant and undirected interaction, using the Laplacian matrix of the interaction graph to design a set of decentralized control laws applicable to mobile sensor networks. Since the direction of motion of each particle is represented in the framework by a point on the unit circle, the closed-loop model has coupled-phase oscillator dynamics.
  • Keywords
    cooperative systems; decentralised control; graph theory; motion control; Laplacian matrix; biological network; closed-loop model; collective motion; cooperative control; coupled oscillator dynamics; coupled-phase oscillator dynamics; decentralized control law; interaction graph; mobile sensor network; oscillator model; relative equilibria stabilization; spatial pattern; steered particles; time-invariant interaction; undirected interaction; Bifurcation; Control systems; Frequency synchronization; Inverse problems; Josephson junctions; Motion analysis; Motion control; Neurons; Oscillators; Pacemakers;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2007.384123
  • Filename
    4272331