• DocumentCode
    67500
  • Title

    Design of Optimal Sparse Interconnection Graphs for Synchronization of Oscillator Networks

  • Author

    Fardad, Mohammad ; Fu Lin ; Jovanovic, Mihailo R.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
  • Volume
    59
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    2457
  • Lastpage
    2462
  • Abstract
    We study the optimal design of a conductance network as a means for synchronizing a given set of oscillators. Synchronization is achieved when all oscillator voltages reach consensus, and performance is quantified by the mean-square deviation from the consensus value. We formulate optimization problems that address the tradeoff between synchronization performance and the number and strength of oscillator couplings. We promote the sparsity of the coupling network by penalizing the number of interconnection links. For identical oscillators, we establish convexity of the optimization problem and demonstrate that the design problem can be formulated as a semidefinite program. Finally, for special classes of oscillator networks we derive explicit analytical expressions for the optimal conductance values.
  • Keywords
    electric admittance; interconnections; mathematical programming; mean square error methods; oscillators; synchronisation; interconnection links; mean-square deviation; optimal conductance network design; optimal conductance values; optimal sparse interconnection graph design; optimization problems; oscillator couplings; oscillator network synchronization; oscillator voltages; synchronization performance; Couplings; Equations; Linear matrix inequalities; Optimization; Oscillators; Sparse matrices; Synchronization; Consensus; convex relaxation; optimization; oscillator synchronization; reweighted $ell_{1}$ minimization; semidefinite programming; sparse graph;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2014.2301577
  • Filename
    6716960