Detection and Mitigation of Corrupted Information in Distributed Model Predictive Control Based on Resource Allocation

Autor: Hervé Guéguen, Romain Bourdais, Rafael Accacio Nogueira
Přispěvatelé: CentraleSupélec [campus de Rennes], Institut d'Électronique et des Technologies du numéRique (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)
Rok vydání: 2021
Předmět:
Zdroj: SysTol
2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol)
2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol), Sep 2021, Saint-Raphael, France. pp.329-334, ⟨10.1109/SysTol52990.2021.9595927⟩
Popis: 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.
Databáze: OpenAIRE