An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise

This paper addresses tracking of a moving target in a multi-agent network. The target follows a linear dynamics corrupted by an adversarial noise, i.e., the noise is not generated from a statistical distribution. The location of the target at each time induces a global time-varying loss function, an...

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Bibliographic Details
Main Authors: Shahrampour, Shahin, Jadbabaie-Moghadam, Ali
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/117776