2020/09/27 by Lebsework Negash, Negash, Lebsework, Han‐Lim Choi +1
Computer Science · Engineering · #Advanced Memory and Neural Computing #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Multiagent Systems (cs.MA) #Opportunistic and Delay-Tolerant Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2009.12738
openalex publication_date 2020/09/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The threats on cyber-physical system have changed much into a level of sophistication that elude the traditional security and protection methods. This work addresses a proactive approaches to the cyber security of a formation flying UAVs. A resilient formation control of UAVs in the presence of non-cooperative (defective or malicious) UAVs is presented. Based on local information a resilient consensus in the presence of misbehaving nodes is dealt with fault-tolerant consensus algorithm. In the proposed framework, a graph-theoretic property of network robustness conveying the notion of a direct information exchange between two sets of UAVs in the network is introduced to analyze the behavior and convergence of the distributed consensus algorithm. A distributed control policy is developed to maintain the network connectivity threshold to satisfy the topological requirement put forward for the resiliency of the consensus algorithm. Numerical examples are presented to show the applicability of the proactive approach used in dealing with the cyber attack treat on a formation flying UAVs