Título Scenario-based defense mechanism against vulnerabilities in Lagrange-based DMPC
Autores Maestre, Jose M. , VELARDE RUEDA, PABLO ANIBAL, Ishii, Hideaki , Negenborn, Rudy R.
Publicación externa Si
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 4.057
Impacto SJR 1.32
Fecha de publicacion 01/09/2021
ISI 000677623100001
DOI 10.1016/j.conengprac.2021.104879
Abstract In this paper, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cyber-security. We consider different types of the so-called insider attacks. In particular, we consider the situation where one of the local controllers sends false information to others to manipulate costs for its own advantage. Then, we propose a popular scenario-based mechanism to protect or, at least, relieve the consequences of the attack in a typical DMPC negotiation process. The theoretical and algorithmic properties of this defense mechanism are also analyzed. A real case study based on a four tank plant is provided to illustrate both the consequences of the attacks and the defense mechanisms.
Palabras clave Model predictive control; Distributed control; Multi-agent network; Cyber-security
Miembros de la Universidad Loyola

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