群体行为
弹性(材料科学)
控制重构
计算机科学
领域(数学分析)
过程(计算)
粒子群优化
分布式计算
人工智能
机器学习
数学
热力学
操作系统
物理
数学分析
嵌入式系统
作者
Chi Zhang,Tao Liu,Guanghan Bai,Junyong Tao,Wenjin Zhu
标识
DOI:10.1016/j.ress.2023.109904
摘要
As a typical Internet of Things system, unmanned swarms can execute missions efficiently, while reduce risks and ensure personnel safety during operations. Because swarms in different physical domains have different advantages, the cross-domain swarms received lots of attentions recently. Since swarm has the ability to resist damage and recover from damage through self-organization and self-reconfiguration, resilience has become an important indicator for swarm design and mission planning in adversarial environments. Existing resilience evaluation methods require a complete degradation-recovery-stabilization process of system performance, which is not proper for the cross-domain swarm under dynamic and uncertain environment. This paper proposes a dynamic resilience evaluation method for cross-domain swarms in confrontation scenario. First, a cross-domain swarm confrontation model is developed and the swarm confrontation performance indicator is proposed. Second, a dynamic resilience evaluation method is proposed for cross-domain swarm. Then, a confrontation strategy selection model is given based on the resilience measurement. A case study of air-ground swarm in confrontations is provided for illustration and analysis. As can be seen from the simulation results, the proposed dynamic resilience method can better capture the dynamic and uncertain nature of cross-domain swarms in confrontation. The proposed strategy selection model can improve the overall resilience of the swarm, and ultimately improve the winning percentage of the cross-domain swarm in confrontation.
科研通智能强力驱动
Strongly Powered by AbleSci AI