Cyber-Physical Systems Resilience

Cyber-Physical Systems (CPSs) integrate sensing, computation, control and networking into physical objects and infrastructures, thus setting the foundation for intelligent systems and operations across domains, including the fields of robotics, transportation/mobility, power grids, smart building solutions and automated fabrication.

Although agile, such systems are susceptible to external threats from manmade and natural hazards, including extreme weather events, natural disasters and cyber-attacks. The high degree of interconnectivities between the physical and digital counterpart of CPSs leads in higher sensitivity to disruptions with short- and long-term effects. In ensuring recovery to a position of equilibrium at minimal loss, it is necessary to design and maintain resilient CPSs, with the ability to resist, absorb, recover from disruptions, and learn to adapt to future shocks.

The research goal of the CPSs Resilience Cluster is to enhance the resilience of CPSs through advanced system design and operations. Such a framework relies on the development of efficient collaborative learning algorithms, robust diagnostic and prognostic indicators that are able to support resilience-informed decision making, the development of a strategic concept of operations (CONOPS) with consideration of human interactions, and a pro-active design through analysis and improvement of respective resilient measures. In closing the loop, we further study the influence of the behaviour and decisions of individuals and the society-at-large on CPS resilience through a novel society-in-the-loop approach.

The CPSs Resilience Cluster includes two modules to build resilience into CPSs:

  1. Resilience Modelling of Cyber-Physical Systems
  2. Design of Cyber-Physical Systems
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