Expectation-Maximization Based Defense Mechanism for Distributed Model Predictive Control. Issue 13 (2022)

• Record Type: Journal Article
• Authors: Nogueira, Rafael Accácio; Bourdais, Romain; Leglaive, Simon; Guéguen, Hervé
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 13(2022)
• Page Start: 73
• Page End: 78
• Publication Date: 2022
• Subjects: Distributed constrained control -- MPC -- Cyber security in networked control systems -- Decentralized Control -- Large-Scale Systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.07.238
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Controlling large-scale systems sometimes requires decentralized computation. Communication among agents is crucial to achieving consensus and optimal global behavior. These negotiation mechanisms are sensitive to attacks on those exchanges. This paper proposes an algorithm based on Expectation Maximization to mitigate the effects of attacks in a resource allocation based distributed model predictive control. The performance is assessed through an academic example of the temperature control of multiple rooms under input power constraints.