Abstract
Many Cyber-Physical Systems (CPSs) are comprising a multitude of computing entities that can collectively exhibit an emergent behavior. A compelling example of such systems is the drone swarm, which are beginning to see increasing application in battlefield surveillance and reconnaissance. The emergent behavior they exhibit is that of flight formation. A particularly interesting flight configuration is V-formation, especially for long-range missions. V-formation is emblematic of migratory birds such as Canada geese, where a bird flying in the upwash region of the bird in front of it can enjoy significant energy savings. In addition, the V-formation offers a clear view benefit, as no bird's field of vision is obstructed by another bird in the formation. Hence, it is important to quantify the resiliency of the control algorithms underlying this class of CPSs to various kinds of attacks. This question provides the motivation for the investigation put forth in this abstract and detailed in [4].
Original language | English |
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Title of host publication | Proceedings - 2018 3rd Workshop on Monitoring and Testing of Cyber-Physical Systems, MT-CPS 2018 |
Publisher | IEEE |
Pages | 16-17 |
Number of pages | 2 |
ISBN (Print) | 9781538667484 |
DOIs | |
Publication status | Published - 7 Aug 2018 |
Event | 3rd Workshop on Monitoring and Testing of Cyber-Physical Systems, MT-CPS 2018 - Porto, Portugal Duration: 10 Apr 2018 → … |
Conference
Conference | 3rd Workshop on Monitoring and Testing of Cyber-Physical Systems, MT-CPS 2018 |
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Country/Territory | Portugal |
City | Porto |
Period | 10/04/18 → … |
Keywords
- Flocking
- Model-predictive-control
- Resiliency
- Statistical-model-checking
- V-formation