Detection and Mitigation of Corrupted Information in Distributed Model Predictive Control Based on Resource Allocation
Systems and Control
2022-07-22 v1 Systems and Control
Optimization and Control
Abstract
In distributed predictive control structures, communication among agents is required to achieve a consensus and approach an optimal global behavior. Such negotiation mechanisms are sensitive to attacks on these exchanges. This paper proposes a monitoring scheme that detects and mitigates these attacks' effects in a resource allocation framework. The performance of the proposed method is illustrated through simulations of the temperature control of multiple rooms under power scarcity.
Cite
@article{arxiv.2207.10401,
title = {Detection and Mitigation of Corrupted Information in Distributed Model Predictive Control Based on Resource Allocation},
author = {Rafael Accácio Nogueira and Romain Bourdais and Hervé Guéguen},
journal= {arXiv preprint arXiv:2207.10401},
year = {2022}
}