USF researchers have developed a novel generalized multiplex information network architecture which utilizes multiplex information networks for formation density control of multi-agent systems. This novel approach is a great way to improve the network operating multiple autonomous vehicles and provide for more precise density, spatial distribution, and control. The novel information network architecture allows for an evolving spatially for adapting to dynamic environments, in turn effectively responding to human interventions. The novel approach also allows capable agents to spatially alter density of the resulting formation while tracking a target of interest without requiring any global information exchange ability.
Response of the Multi-Agent System with the Proposed Distributed Control Architecture