Phase synchronization control of complex networks of Lagrangian systems on adaptive digraphs

Soon Jo Chung, Saptarshi Bandyopadhyay, Insu Chang, Fred Y. Hadaegh

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a formation control and synchronization method that utilizes adaptive network topologies for a class of complex dynamical networks comprised of a large number of highly-nonlinear Euler-Lagrange (EL) systems. A time-varying and switching network topology, constructed by the adaptive graph Laplacian matrix, relaxes the standard requirement of consensus stability, even permitting exponential synchronization on an unbalanced digraph or a weakly connected digraph that can sporadically lose connectivity. The time-varying graph Laplacian matrix is adapted by an adaptive control scheme based on relative positions and errors of synchronization and tracking. The adaptive graph Laplacian is integrated with a phase synchronization controller that synchronizes the relative motions of EL systems moving in elliptical orbits, thereby yielding a smaller synchronization error than an uncoupled tracking control law in the presence of bounded disturbances and modeling errors. An example of reconfiguring hundreds of spacecraft in Low Earth Orbit shows the effectiveness of the proposed phase synchronization controller for a large number of complex EL systems moving in periodic elliptical orbits.

Original languageEnglish (US)
Pages (from-to)1148-1161
Number of pages14
JournalAutomatica
Volume49
Issue number5
DOIs
StatePublished - May 2013

Keywords

  • Adaptive control
  • Co-operative control
  • Complex network
  • Nonlinear control
  • Robotics
  • Space vehicles
  • Synchronization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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