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Multi-Agent Rendezvous Algorithms With Reduced Communication

Kaushik Das, Debasish Ghose


This paper presents two classes of algorithms (i) Broadcast based algorithms and (ii) Distributed control algorithms; for achieving rendezvous in multi-agent systems. Both have the property of reducing the communication burden on the system. In the first we consider a case where each agent is homogeneous and all agents are controlled by the same broadcast command from a centralized controller. In the second case we consider each agent to implement its own control based on information gathered from its neighbours through a
limited sensing capability. In this paper we give a brief overview of the broadcast based methods and the distributed control algorithm where a modification in the decision domain of the agents is shown to yield significant benefits in terms of computational time, when compared with standard algorithms available in the literature. We also show its straightforward application to higher dimensional problems which is a considerable improvement over available algorithms in the literature.


Multi-agent, Broadcast control, Rendezvous, Linear programming.

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