Artículo
Cyber-security in networked and distributed model predictive control
Autor/es | Arauz, T.
Chanfreut Palacio, Paula Maestre Torreblanca, José María |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-02-11 |
Publicado en |
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Resumen | Distributed model predictive control (DMPC) schemes have become a popular choice for networked control problems. Under this approach, local controllers use a model to predict its subsystem behavior during a certain horizon ... Distributed model predictive control (DMPC) schemes have become a popular choice for networked control problems. Under this approach, local controllers use a model to predict its subsystem behavior during a certain horizon so as to find the sequence of inputs that optimizes its evolution according to a given criterion. Some convenient features of this method are the explicit handling of constraints and the exchange of information between controllers to coordinate their actuation and minimize undesired mutual interactions. However, we find that schemes have been developed naively, presenting flaws and vulnerabilities that malicious entities can exploit to gain leverage in cyber-attacks. The goal of this work is to raise awareness about this issue by reviewing the vulnerabilities of DMPC methods and surveying defense mechanisms. Finally, several examples are given to indicate how these defense mechanisms can be implemented in DMPC controllers. |
Identificador del proyecto | FPU19/00127
FPU17/02653 789051 US-1265917 PID2020-119476RB-I00 |
Cita | Arauz, T., Chanfreut Palacio, P. y Maestre Torreblanca, J.M. (2022). Cyber-security in networked and distributed model predictive control. Annual Reviews in Control, 53, 338-355. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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ARC_Arauz_2021_Cyber-security.pdf | 1.734Mb | [PDF] | Ver/ | Versión in press provisional |