Distributed consensus in Networks of Dynamic Agents

Dario Bauso, Laura Giarre, Raffaele Pesenti

Research output: Contribution to conferenceOtherpeer-review

16 Citations (Scopus)

Abstract

Stationary and distributed consensus protocols for a network of n dynamic agents under local information is considered. Consensus must be reached on a group decision value returned by a function of the agents' initial state values. As a main contribution we show that the agents can reach consensus if the value of such a function computed over the agents' state trajectories is time invariant. We use this basic result to introduce a protocol design rule allowing consensus on a quite general set of values. Such a set includes, e.g., any generalized mean of order p of the agents' initial states. We demonstrate that the asymptotical consensus is reached via a Lyapunov approach. Finally we perform a simulation study concerning the alignment maneuver of a team of unmanned air vehicles.
Original languageEnglish
Pages7054-7059
Number of pages6
Publication statusPublished - 2005

All Science Journal Classification (ASJC) codes

  • General Engineering

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