Sonia Martínez
Jacobs Faculty Scholar
Professor of Mechanical and Aerospace Engineering
Jacobs Faculty Scholar
Professor of Mechanical and Aerospace Engineering
We consider an operator-vehicle network where each vehicle is remotely maneuvered by an operator. The objective of the operator-vehicle network is to steer the vehicles to a consensus point within a given constraint set. Each operatorvehicle pair is attacked by an adversary who is able to maliciously replay the control commands sent from the operator. To play against attackers, we come up with a distributed resilient algorithm based on receding-horizon control, and show that this algorithm can guarantee achieving the constrained consensus objective at a geometric rate. With slight modifications, our proposed algorithm shows an analogous resilience property to denial-of-service attacks.
@InProceedings{MZ-SM:12-acc},
author = {M. Zhu and S. Mart{\'\i}nez},
booktitle = {Proc. of the 2012 American Control Conference},
title = {On distributed resilient consensus against replay attacks in
adversarial networks},
pages = {3553 -- 3558},
year = {2012},
month = {June},
address = {Montreal, Canada}
}