Publicação

Trust and risk management towards resilient large-scale cyber-physical systems

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Detalhes bibliográficos
Resumo:Empowering distributed entities with decisional and adaptation capabilities is the current trend in control systems operating in highly changing environments. Cyber-Physical Systems (CPS) is a paradigm addressing this challenge as it allows the integration of both physical and decisional parts. By acting in highly changing environments, these complex control systems must be resilient. This paper proposes a trust and risk management mechanism to be deployed in CPS for resilience improvement. This mechanism, inspired by social and biological behaviour, is deployed in a smart-grid demonstrator. The preliminary results show that embedding this mechanism into distributed entities can lead to an increase of the system stability and efficiency dealing with system uncertainty and perturbations, and consequently improving the system resilience.
Autores principais:Pereira, Arnaldo
Outros Autores:Rodrigues, Nelson; Barbosa, José; Leitão, Paulo
Assunto:Cyber-pysical systems Multi-agent systems
Ano:2013
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:Empowering distributed entities with decisional and adaptation capabilities is the current trend in control systems operating in highly changing environments. Cyber-Physical Systems (CPS) is a paradigm addressing this challenge as it allows the integration of both physical and decisional parts. By acting in highly changing environments, these complex control systems must be resilient. This paper proposes a trust and risk management mechanism to be deployed in CPS for resilience improvement. This mechanism, inspired by social and biological behaviour, is deployed in a smart-grid demonstrator. The preliminary results show that embedding this mechanism into distributed entities can lead to an increase of the system stability and efficiency dealing with system uncertainty and perturbations, and consequently improving the system resilience.