Finite-time convergent gradient flows with applications to network consensus

  • Authors:
  • Jorge CortéS

  • Affiliations:
  • Department of Applied Mathematics and Statistics, Baskin School of Engineering, University of California, Santa Cruz, CA 95064, USA

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2006

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Abstract

This paper introduces the normalized and signed gradient dynamical systems associated with a differentiable function. Extending recent results on nonsmooth stability analysis, we characterize their asymptotic convergence properties and identify conditions that guarantee finite-time convergence. We discuss the application of the results to consensus problems in multi-agent systems and show how the proposed nonsmooth gradient flows achieve consensus in finite time.