How to Learn from the Resilience of Human-Machine Systems?

Kiswendsida Abel Ouedraogo (1) , Simon Enjalbert (1) , Frédéric Vanderhaegen (1)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201

In this paper, we aim to analyse the resilience of Human-Machine Systems (HMS) in order to improve it from learning process. A State of Art is achieved and resilience engineering of HMS is defined. Then, human-machines’ learning processes supposed to improve systems’ resilience and indicators proposed in the literature to assess it are analysed. A perspective can be to propose an efficient indicator, for instance based on Benefit-Cost-Deficit (BCD) model, which can lead to the system resilience characterisation.

Mots clés: Human-Machine Systems; Resilience; BCD model; Learning process; Feedback/Feedforward control

Domaines: Sciences de l'ingénieur [physics]; Automatique / Robotique

Kiswendsida Abel Ouedraogo, Simon Enjalbert, Frédéric Vanderhaegen. How to Learn from the Resilience of Human-Machine Systems?. 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, Aug 2010, Valenciennes, France. pp.374-379, ⟨10.3182/20100831-4-FR-2021.00066⟩. ⟨hal-03644372⟩