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...
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 |
Similar Items
-
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
by: Shahrampour, Shahin
Published: (2018) -
Persistent patrolling in the presence of adversarial observers
by: Root, Philip J
Published: (2014) -
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems
by: Hoang, Trong Nghia Hoang, et al.
Published: (2021) -
Population Stability: Regulating Size in the Presence of an Adversary
by: Goldwasser, Shafrira, et al.
Published: (2021) -
Resilient Network Coding In the Presence of Byzantine Adversaries
by: Jaggi, Sidharth, et al.
Published: (2006)