Robustness to agent loss in vehicle formations and sensor networks
A primary motivation for using large-scale vehicle formations and sensor networks is potential robustness to loss of a single agent or a small number of agents. In this paper, we address the problem of agent loss by introducing redundancy into the information architecture such that limited agent loss does not destroy desirable properties. We model the information architecture as a graph G(V,E), where V is a set of vertices representing the agents and E is a set of edges representing information...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of IEEE Conference on Decision and Control 2008|
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