A Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems

Cyber-Physical Systems (CPS) are widely used in different domains. The major application domains of CPS are healthcare, transportation, manufacturing, industrial control systems, automatic pilot avionics, robotics systems, and so on. Uncertainty is one of the major issues that challenge the reliability of a CPS. In the literature, various approaches have been proposed to deal with uncertainty. However, fewer studies have focused on handling the root cause analysis of uncertainty and also suggesting the corresponding mitigation strategies. Inspired by this, we propose a conceptual model effective in mitigating the root causes of uncertainty in CPS. Moreover, some potential future research dimensions are outlined.