Title

Variation As An Element In Multi-Agent Control For Target Tracking

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. © 2012 IEEE.

Publication Date

12-1-2012

Publication Title

IEEE International Conference on Intelligent Robots and Systems

Number of Pages

834-841

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/IROS.2012.6385993

Socpus ID

84872312552 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84872312552

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