Trust method for multi-agent consensus

Dariusz G. Mikulski; Frank L. Lewis; Edward Y. Gu; Greg R. Hudas

doi:10.1117/12.918927

17 May 2012 Trust method for multi-agent consensus

Dariusz G. Mikulski, Frank L. Lewis, Edward Y. Gu, Greg R. Hudas

Proceedings Volume 8387, Unmanned Systems Technology XIV; 83870E (2012) https://doi.org/10.1117/12.918927
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

The consensus problem in multi-agent systems often assumes that all agents are equally trustworthy to seek agreement. But for multi-agent military applications - particularly those that deal with sensor fusion or multi-robot formation control - this assumption may create the potential for compromised network security or poor cooperative performance. As such, we present a trust-based solution for the discrete-time multi-agent consensus problem and prove its asymptotic convergence in strongly connected digraphs. The novelty of the paper is a new trust algorithm called RoboTrust, which is used to calculate trustworthiness in agents using observations and statistical inferences from various historical perspectives. The performance of RoboTrust is evaluated within the trust-based consensus protocol under different conditions of tolerance and confirmation.

Citation Download Citation

Dariusz G. Mikulski, Frank L. Lewis, Edward Y. Gu, and Greg R. Hudas "Trust method for multi-agent consensus", Proc. SPIE 8387, Unmanned Systems Technology XIV, 83870E (17 May 2012); https://doi.org/10.1117/12.918927

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