Abstract
We consider a multi-agent system where each agent has its own estimate of a given quantity and the goal is to reach consensus on the average. To this purpose, we propose a distributed consensus algorithm that guarantees convergence to the average in a finite number of iterations. The algorithm is tailored to ring networks with bidirectional pairwise communications. If the number of agents is even, say , then, the number of iterations needed is equal to , which in this case is the diameter of the network, whereas the number of iterations grows to if the number of agents is odd and equal to .
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