Abstract:
This work investigates the impact of inter-agent variation on the performance of a multi-agent system based control system. The control system is composed of a multi-agen...Show MoreMetadata
Abstract:
This work investigates the impact of inter-agent variation on the performance of a multi-agent system based control system. The control system is composed of a multi-agent team and aggregates the actions of the individual agents of the team to form a single output. In the process, this approach attempts to use error and variation that naturally occurs in physical systems to the system's advantage. We apply this multi-agent control system to a multiple task allocation problem and present an analytical model with which we can study the conditions under which such a system is expected to stabilize. We then compare the expected behavior of the analytical model with an empirical agent-based simulation applied to a tracking problem.
Date of Conference: 07-12 October 2012
Date Added to IEEE Xplore: 20 December 2012
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