Detection and Mitigation of Corrupted Information in Distributed Model Predictive Control Based on Resource Allocation
Autor: | Hervé Guéguen, Romain Bourdais, Rafael Accacio Nogueira |
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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: |
Scheme (programming language)
Temperature control Computer science Distributed computing media_common.quotation_subject Fault tolerance Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control [SPI.AUTO]Engineering Sciences [physics]/Automatic Scarcity Model predictive control Optimization and Control (math.OC) Control system FOS: Electrical engineering electronic engineering information engineering FOS: Mathematics Resource allocation Resource management Mathematics - Optimization and Control computer media_common computer.programming_language |
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 |
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