Name
Abstract | ||
|---|---|---|
Multi-UAV Operations are an area of great interest in government, industry, and research community. In multi-UAV operations, a group of unmanned aerial vehicles (UAVs) are deployed to carry out missions such as search and rescue or disaster relief. As multi-UAV systems operate in an open operational environment, many disrupting events can occur. To this end, resilience of these systems is of great importance. The research performed and reported in this paper utilizes simulation-based research methodology and demonstrates that resilience of multi-UAV systems can be achieved by real-time evaluation of resilience alternatives during system operation. This evaluation is done using a dynamic utility function where priorities change as a function of context. Simulation results show that resilience response can in fact change depending on the context. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/systems7010011 | SYSTEMS |
Keywords | Field | DocType |
multi-UAV system, system-of-systems, resilience, dynamic decision making | Psychological resilience,Search and rescue,Computer science,Emergency management,System of systems,Dynamic decision-making,Risk analysis (engineering),Research methodology,Natural language processing,Artificial intelligence,Government | Journal |
Volume | Issue | ISSN |
7 | 1 | 2079-8954 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edwin Ordoukhanian | 1 | 0 | 1.01 |
| Azad M. Madni | 2 | 188 | 34.57 |