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...

Full description

Bibliographic Details
Main Authors: Shahrampour, Shahin (Author), Jadbabaie-Moghadam, Ali (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-09-17T14:38:55Z.
Subjects:
Online Access:Get fulltext