Resilience Metric and Dynamic Assessment of Unmanned System-of-Systems Considering Cooperative Reconfiguration Strategies

Abstract

Unmanned system-of-systems (USoS) often operates in dangerous, dirty, and open environments, which causes them to be vulnerable to disruptions. Uncertainties and unexpected shocks can severely interfere with the USoS operation and adversely affect the overall USoS performance. Therefore, we propose a resilience metric and the corresponding dynamic assessment methods for homogeneous and heterogeneous USoS, and emphasize on establishing cooperative reconfiguration strategies for resilience enhancement. First, a multilevel analysis framework and mission-oriented resilience metric for USoS are established to comprehensively consider the variable performance and mission baseline. Subsequently, a theoretical analysis method for homogeneous USoS based on queuing theory is developed under a random attack. Furthermore, a heterogeneous USoS assessment algorithm is presented to determine how three different attacks and collaborative reconfiguration strategies affect the resilience of networked USoS. Finally, as a key demonstration, a 50-swarm USoS serves as a pivotal example to validate the efficacy of the proposed method, which can serve as a reference for improving the USoS resilience.