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Characterizing the Convergence of a Distributed Consensus Algorithm via Relative Hull

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PROJECT TITLE :

Characterizing the Convergence of a Distributed Consensus Algorithm via Relative Hull

ABSTRACT:

This transient proposed a unique geometric structure known as relative hull. By using this newly introduced concept, a novel consensus algorithm of multiagent systems was established. It has been strictly proved that such an algorithm contains a much larger convergence region with respect to the widely investigated average consensus algorithms. Furthermore, applications of this algorithm to consensus of multiagent systems with compasses and consensus on a torus demonstrated the effectiveness and generality of the proposed geometric structure.


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Characterizing the Convergence of a Distributed Consensus Algorithm via Relative Hull - 4.6 out of 5 based on 54 votes

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